Associate Professor Chaodit Aswakul, Ph.D.
รศ. ดร.เชาวน์ดิศ อัศวกุล
Education
- PhD (Communicaiton Networking) Imperial College London, U.K.
- BEng (1st-Class Hons), Chulalongkorn University, Thailand.
Email: Chaodit.a@chula.ac.th
Research Interest
- Reinforcement Learning in Road and Telecommunication Network Applications
- Vehicular Mobility Classification, Network Traffic Anomaly Detection
- Machine Learning in Building Energy Management System Data and Mobile Telecommunication Network Data with Differential Privacy Protection
- Network Security by Software-Defined Networking
- Traffic Engineering Optimisation in Wireless Mesh Network
- Network Function Virtualisation in Container Orchestration Cloud
Research Cluster
Link to
1.
Tun, P P T L; Aswakul, C
Design and Preliminary Functionality Test of Road Network Traffic Monitoring System Based on Indoor SDWMN In-band Architecture Journal Article
In: Lecture Notes in Networks and Systems, vol. 180, pp. 181-192, 2021, ISSN: 23673370, (cited By 0; Conference of 12th International Network Conference, INC 2020 ; Conference Date: 21 September 2020 Through 21 September 2020; Conference Code:254679).
@article{Tun2021,
title = {Design and Preliminary Functionality Test of Road Network Traffic Monitoring System Based on Indoor SDWMN In-band Architecture},
author = {P P T L Tun and C Aswakul},
editor = {Shiaeles S Ghita B.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101545748&doi=10.1007%2f978-3-030-64758-2_13&partnerID=40&md5=3fc8bc4a5f94dbb5ebdbc53e3e63f4b8},
doi = {10.1007/978-3-030-64758-2_13},
issn = {23673370},
year = {2021},
date = {2021-01-01},
journal = {Lecture Notes in Networks and Systems},
volume = {180},
pages = {181-192},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Software-defined wireless mesh network (SDWMN) combines the functionalities of wireless mesh network (WMN) and software defined networking (SDN) to achieve the goal of being effectively manageable of WMN. In this paper, the indoor SDWMN in-band testbed is proposed and implemented. The design and implementation of indoor SDWMN in-band testbed proposed in this paper is the preliminary testbed for the future real outdoor SDWMN in-band testbed for road traffic monitoring system. The testing results of indoor SDWMN in-band discussed in this paper shows that the system can function properly and becomes ready for future testing in the real outdoor environment. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
note = {cited By 0; Conference of 12th International Network Conference, INC 2020 ; Conference Date: 21 September 2020 Through 21 September 2020; Conference Code:254679},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Software-defined wireless mesh network (SDWMN) combines the functionalities of wireless mesh network (WMN) and software defined networking (SDN) to achieve the goal of being effectively manageable of WMN. In this paper, the indoor SDWMN in-band testbed is proposed and implemented. The design and implementation of indoor SDWMN in-band testbed proposed in this paper is the preliminary testbed for the future real outdoor SDWMN in-band testbed for road traffic monitoring system. The testing results of indoor SDWMN in-band discussed in this paper shows that the system can function properly and becomes ready for future testing in the real outdoor environment. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
2.
Mon, E E; Ochiai, H; Saivichit, C; Aswakul, C
Bottleneck based gridlock prediction in an urban road network using long short-term memory Journal Article
In: Electronics (Switzerland), vol. 9, no. 9, pp. 1-20, 2020, ISSN: 20799292, (cited By 0).
@article{Mon2020,
title = {Bottleneck based gridlock prediction in an urban road network using long short-term memory},
author = {E E Mon and H Ochiai and C Saivichit and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093901328&doi=10.3390%2felectronics9091412&partnerID=40&md5=68c515291b67e71b13c2d718fa823ab7},
doi = {10.3390/electronics9091412},
issn = {20799292},
year = {2020},
date = {2020-01-01},
journal = {Electronics (Switzerland)},
volume = {9},
number = {9},
pages = {1-20},
publisher = {MDPI AG},
abstract = {The traffic bottlenecks in urban road networks are more challenging to investigate and discover than in freeways or simple arterial networks. A bottleneck indicates the congestion evolution and queue formation, which consequently disturb travel delay and degrade the urban traffic environment and safety. For urban road networks, sensors are needed to cover a wide range of areas, especially for bottleneck and gridlock analysis, requiring high installation and maintenance costs. The emerging widespread availability of GPS vehicles significantly helps to overcome the geographic coverage and spacing limitations of traditional fixed-location detector data. Therefore, this study investigated GPS vehicles that have passed through the links in the simulated gridlock-looped intersection area. The sample size estimation is fundamental to any traffic engineering analysis. Therefore, this study tried a different number of sample sizes to analyze the severe congestion state of gridlock. Traffic condition prediction is one of the primary components of intelligent transportation systems. In this study, the Long Short-Term Memory (LSTM) neural network was applied to predict gridlock based on bottleneck states of intersections in the simulated urban road network. This study chose to work on the Chula-Sathorn SUMO Simulator (Chula-SSS) dataset. It was calibrated with the past actual traffic data collection by using the Simulation of Urban MObility (SUMO) software. The experiments show that LSTM provides satisfactory results for gridlock prediction with temporal dependencies. The reported prediction error is based on long-range time dependencies on the respective sample sizes using the calibrated Chula-SSS dataset. On the other hand, the low sampling rate of GPS trajectories gives high RMSE and MAE error, but with reduced computation time. Analyzing the percentage of simulated GPS data with different random seed numbers suggests the possibility of gridlock identification and reports satisfying prediction errors. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The traffic bottlenecks in urban road networks are more challenging to investigate and discover than in freeways or simple arterial networks. A bottleneck indicates the congestion evolution and queue formation, which consequently disturb travel delay and degrade the urban traffic environment and safety. For urban road networks, sensors are needed to cover a wide range of areas, especially for bottleneck and gridlock analysis, requiring high installation and maintenance costs. The emerging widespread availability of GPS vehicles significantly helps to overcome the geographic coverage and spacing limitations of traditional fixed-location detector data. Therefore, this study investigated GPS vehicles that have passed through the links in the simulated gridlock-looped intersection area. The sample size estimation is fundamental to any traffic engineering analysis. Therefore, this study tried a different number of sample sizes to analyze the severe congestion state of gridlock. Traffic condition prediction is one of the primary components of intelligent transportation systems. In this study, the Long Short-Term Memory (LSTM) neural network was applied to predict gridlock based on bottleneck states of intersections in the simulated urban road network. This study chose to work on the Chula-Sathorn SUMO Simulator (Chula-SSS) dataset. It was calibrated with the past actual traffic data collection by using the Simulation of Urban MObility (SUMO) software. The experiments show that LSTM provides satisfactory results for gridlock prediction with temporal dependencies. The reported prediction error is based on long-range time dependencies on the respective sample sizes using the calibrated Chula-SSS dataset. On the other hand, the low sampling rate of GPS trajectories gives high RMSE and MAE error, but with reduced computation time. Analyzing the percentage of simulated GPS data with different random seed numbers suggests the possibility of gridlock identification and reports satisfying prediction errors. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
3.
Thirasupa, R; Saivichit, C; Aswakul, C
Cloud Infrastructure Design Model for Green Smart City: Case Study of Electricity Generating Authority of Thailand Journal Article
In: Lecture Notes in Electrical Engineering, vol. 621, pp. 135-147, 2020, ISSN: 18761100, (cited By 0; Conference of 10th International Conference on Information Science and Applications, ICISA 2019 ; Conference Date: 16 December 2019 Through 18 December 2019; Conference Code:235259).
@article{Thirasupa2020,
title = {Cloud Infrastructure Design Model for Green Smart City: Case Study of Electricity Generating Authority of Thailand},
author = {R Thirasupa and C Saivichit and C Aswakul},
editor = {Kim H -Y Kim K.J.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077494795&doi=10.1007%2f978-981-15-1465-4_15&partnerID=40&md5=1ec9cf1cd5ccd5db5f56762dc302eea3},
doi = {10.1007/978-981-15-1465-4_15},
issn = {18761100},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Electrical Engineering},
volume = {621},
pages = {135-147},
publisher = {Springer},
abstract = {“EGAT Eco Plus” is a smart city initiative of Electricity Generating Authority of Thailand (EGAT). To design the cloud infrastructure to support applications in the smart city, we need a modular design model which can dynamically adjust requirements and system parameters. This paper proposes the concept of smart city cloud controller which aims to provide so-called green service resource allocation by maximizing green i.e. renewable energy usage for data centers. Based on our formulated linear programming, our proposed SCCC model can provide green service resource allocation for data centers by maximizing the green energy usage. We evaluate the SCCC formulation with the green energy usage per each data center and overall of green energy usage in optimizing green metrics. Afterward, we compare our model with a well-known algorithm for solving the resource allocation problem i.e. round-robin. The model can be applied in the smart city whose data centers have different accessibility to on-site renewable energy sources. Besides, the proposed model can adjust parameters which are design criteria for green computing; the size of tasks, different power sources; and can be used as design guidelines for green computing in smart cities with more than one power source; grid, on-site renewable energy, battery energy storage. © Springer Nature Singapore Pte Ltd 2020.},
note = {cited By 0; Conference of 10th International Conference on Information Science and Applications, ICISA 2019 ; Conference Date: 16 December 2019 Through 18 December 2019; Conference Code:235259},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
“EGAT Eco Plus” is a smart city initiative of Electricity Generating Authority of Thailand (EGAT). To design the cloud infrastructure to support applications in the smart city, we need a modular design model which can dynamically adjust requirements and system parameters. This paper proposes the concept of smart city cloud controller which aims to provide so-called green service resource allocation by maximizing green i.e. renewable energy usage for data centers. Based on our formulated linear programming, our proposed SCCC model can provide green service resource allocation for data centers by maximizing the green energy usage. We evaluate the SCCC formulation with the green energy usage per each data center and overall of green energy usage in optimizing green metrics. Afterward, we compare our model with a well-known algorithm for solving the resource allocation problem i.e. round-robin. The model can be applied in the smart city whose data centers have different accessibility to on-site renewable energy sources. Besides, the proposed model can adjust parameters which are design criteria for green computing; the size of tasks, different power sources; and can be used as design guidelines for green computing in smart cities with more than one power source; grid, on-site renewable energy, battery energy storage. © Springer Nature Singapore Pte Ltd 2020.
4.
Pipattanasomporn, M; Chitalia, G; Songsiri, J; Aswakul, C; Pora, W; Suwankawin, S; Audomvongseree, K; Hoonchareon, N
CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets Journal Article
In: Scientific Data, vol. 7, no. 1, 2020, ISSN: 20524463, (cited By 2).
@article{Pipattanasomporn2020,
title = {CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets},
author = {M Pipattanasomporn and G Chitalia and J Songsiri and C Aswakul and W Pora and S Suwankawin and K Audomvongseree and N Hoonchareon},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088245691&doi=10.1038%2fs41597-020-00582-3&partnerID=40&md5=f4429e29617970d1a17b92a27f26ec05},
doi = {10.1038/s41597-020-00582-3},
issn = {20524463},
year = {2020},
date = {2020-01-01},
journal = {Scientific Data},
volume = {7},
number = {1},
publisher = {Nature Research},
abstract = {This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700-m2 office building located in Bangkok, Thailand. The electricity consumption data (kW) are that of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the building. The indoor environmental sensor data comprise temperature (°C), relative humidity (%), and ambient light (lux) measurements of the same zones. The entire datasets are available at one-minute intervals for the period of 18 months from July 1, 2018, to December 31, 2019. Such datasets can be used to support a wide range of applications, such as zone-level, floor-level, and building-level load forecasting, indoor thermal model development, validation of building simulation models, development of demand response algorithms by load type, anomaly detection methods, and reinforcement learning algorithms for control of multiple AC units. © 2020, The Author(s).},
note = {cited By 2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700-m2 office building located in Bangkok, Thailand. The electricity consumption data (kW) are that of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the building. The indoor environmental sensor data comprise temperature (°C), relative humidity (%), and ambient light (lux) measurements of the same zones. The entire datasets are available at one-minute intervals for the period of 18 months from July 1, 2018, to December 31, 2019. Such datasets can be used to support a wide range of applications, such as zone-level, floor-level, and building-level load forecasting, indoor thermal model development, validation of building simulation models, development of demand response algorithms by load type, anomaly detection methods, and reinforcement learning algorithms for control of multiple AC units. © 2020, The Author(s).
5.
Saha, R K; Aswakul, C
A novel frequency reuse technique for in-building small cells in dense heterogeneous networks Journal Article
In: IEEJ Transactions on Electrical and Electronic Engineering, vol. 13, no. 1, pp. 98-111, 2018, ISSN: 19314973, (cited By 15).
@article{Saha2018,
title = {A novel frequency reuse technique for in-building small cells in dense heterogeneous networks},
author = {R K Saha and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037681290&doi=10.1002%2ftee.22503&partnerID=40&md5=f6df364d18917fea4900bb9bea5ed892},
doi = {10.1002/tee.22503},
issn = {19314973},
year = {2018},
date = {2018-01-01},
journal = {IEEJ Transactions on Electrical and Electronic Engineering},
volume = {13},
number = {1},
pages = {98-111},
publisher = {John Wiley and Sons Inc.},
abstract = {In this paper, we address the important issue of reusing frequency resource in femtocells deployed in dense multi-floor buildings over a large urban macrocell coverage to enhance network capacity and spectral efficiency using almost blank subframe (ABS)-based enhanced inter-cell interference coordination (eICIC) technique. Femtocell clustering and modeling an optimum number of ABS (OPNA) are, however, two major challenges to reuse frequency in femtocells deployed in buildings using ABS-based eICIC. In this paper, we address these challenges by exploiting the high external wall penetration loss of any buildings and in-between distance of neighboring buildings, and propose a femtocell clustering approach by considering all femtocells in any buildings as a femtocell cluster to avoid an additional computational complexity from clustering. We develop a frequency reuse and scheduling algorithm (FRSA) for an arbitrary number of ABSs for a multi-tier network, which consists of in-building femtocells and outdoor picocells in the coverage of an urban macrocell. We then propose a model for estimating the OPNA and derive an OPNA per femtocell cluster basis under two schemes, namely adaptive OPNA and non-adaptive OPNA, in order to vary the number of ABSs imposed on femtocells within a building dynamically based on the presence of indoor macrocell users within the building to avoid cross-tier interference with femtocells. An optimization algorithm for OPNA schemes is developed, and its implementation aspects are discussed. The impact of varying the number of ABSs and femtocells per building on the throughput performance of FRSA is analyzed through an extensive system-level simulation, and the capacity outperformance of the adaptive over the non-adaptive OPNA scheme is shown. Finally, a schematic of the scheduler implementation for FRSA is developed, and the capacity outperformance of FRSA over a number of existing works is shown. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.},
note = {cited By 15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we address the important issue of reusing frequency resource in femtocells deployed in dense multi-floor buildings over a large urban macrocell coverage to enhance network capacity and spectral efficiency using almost blank subframe (ABS)-based enhanced inter-cell interference coordination (eICIC) technique. Femtocell clustering and modeling an optimum number of ABS (OPNA) are, however, two major challenges to reuse frequency in femtocells deployed in buildings using ABS-based eICIC. In this paper, we address these challenges by exploiting the high external wall penetration loss of any buildings and in-between distance of neighboring buildings, and propose a femtocell clustering approach by considering all femtocells in any buildings as a femtocell cluster to avoid an additional computational complexity from clustering. We develop a frequency reuse and scheduling algorithm (FRSA) for an arbitrary number of ABSs for a multi-tier network, which consists of in-building femtocells and outdoor picocells in the coverage of an urban macrocell. We then propose a model for estimating the OPNA and derive an OPNA per femtocell cluster basis under two schemes, namely adaptive OPNA and non-adaptive OPNA, in order to vary the number of ABSs imposed on femtocells within a building dynamically based on the presence of indoor macrocell users within the building to avoid cross-tier interference with femtocells. An optimization algorithm for OPNA schemes is developed, and its implementation aspects are discussed. The impact of varying the number of ABSs and femtocells per building on the throughput performance of FRSA is analyzed through an extensive system-level simulation, and the capacity outperformance of the adaptive over the non-adaptive OPNA scheme is shown. Finally, a schematic of the scheduler implementation for FRSA is developed, and the capacity outperformance of FRSA over a number of existing works is shown. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
6.
Tiaprasert, K; Zhang, Y; Aswakul, C; Jiao, J; Ye, X
Closed-form multiclass cell transmission model enhanced with overtaking, lane-changing, and first-in first-out properties Journal Article
In: Transportation Research Part C: Emerging Technologies, vol. 85, pp. 86-110, 2017, ISSN: 0968090X, (cited By 11).
@article{Tiaprasert2017,
title = {Closed-form multiclass cell transmission model enhanced with overtaking, lane-changing, and first-in first-out properties},
author = {K Tiaprasert and Y Zhang and C Aswakul and J Jiao and X Ye},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034068717&doi=10.1016%2fj.trc.2017.09.008&partnerID=40&md5=80e314e5289f729be62712a13e59a0b4},
doi = {10.1016/j.trc.2017.09.008},
issn = {0968090X},
year = {2017},
date = {2017-01-01},
journal = {Transportation Research Part C: Emerging Technologies},
volume = {85},
pages = {86-110},
publisher = {Elsevier Ltd},
abstract = {A novel multiclass macroscopic model is proposed in this article. In order to enhance first-in, first-out property (FIFO) and transmission function in the multiclass traffic modeling, a new multiclass cell transmission model with FIFO property (herein called FM-CTM) is extended from its prior multiclass cell transmission model (M-CTM). Also, to enhance its analytical compactness and resultant computational convenience, FM-CTM is formulated in this paper as a set of closed-form matrix equations. The objective is to improve the accuracy of traffic state estimation by enforcing FIFO property when a fast vehicle cannot overtake a slow vehicle due to a limitation of a single-lane road. Moreover, the proposed model takes into account a different priority for vehicles of each class to move forward through congested road conditions, and that makes the flow calculation independent from their free-flow speeds. Some hypothetical and real-world freeway networks with a constant or varying number of lanes are selected to verify FM-CTM by comparing with M-CTM and the conventional CTM. Observed densities of VISSIM and real-world dataset of I-80 are selected to compare with the simulated densities from the three CTMs. The numerical results show that FM-CTM outperforms the other two models by 15% of accuracy measures in most cases. Therefore, the proposed model is expected to be well applicable to the road network with a mixed traffic and varying number of lanes. © 2017 Elsevier Ltd},
note = {cited By 11},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
A novel multiclass macroscopic model is proposed in this article. In order to enhance first-in, first-out property (FIFO) and transmission function in the multiclass traffic modeling, a new multiclass cell transmission model with FIFO property (herein called FM-CTM) is extended from its prior multiclass cell transmission model (M-CTM). Also, to enhance its analytical compactness and resultant computational convenience, FM-CTM is formulated in this paper as a set of closed-form matrix equations. The objective is to improve the accuracy of traffic state estimation by enforcing FIFO property when a fast vehicle cannot overtake a slow vehicle due to a limitation of a single-lane road. Moreover, the proposed model takes into account a different priority for vehicles of each class to move forward through congested road conditions, and that makes the flow calculation independent from their free-flow speeds. Some hypothetical and real-world freeway networks with a constant or varying number of lanes are selected to verify FM-CTM by comparing with M-CTM and the conventional CTM. Observed densities of VISSIM and real-world dataset of I-80 are selected to compare with the simulated densities from the three CTMs. The numerical results show that FM-CTM outperforms the other two models by 15% of accuracy measures in most cases. Therefore, the proposed model is expected to be well applicable to the road network with a mixed traffic and varying number of lanes. © 2017 Elsevier Ltd
7.
Sangumpai, C; Aswakul, C
Development of real-time interworking between IEEE1888 and ECHONET lite standards for building energy management system Journal Article
In: Engineering Journal, vol. 21, no. 6 Special Issue, pp. 1-10, 2017, ISSN: 01258281, (cited By 1).
@article{Sangumpai2017,
title = {Development of real-time interworking between IEEE1888 and ECHONET lite standards for building energy management system},
author = {C Sangumpai and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033571405&doi=10.4186%2fej.2017.21.6.1&partnerID=40&md5=7cc017019a3ceb4a1c5879d84bfbc72c},
doi = {10.4186/ej.2017.21.6.1},
issn = {01258281},
year = {2017},
date = {2017-01-01},
journal = {Engineering Journal},
volume = {21},
number = {6 Special Issue},
pages = {1-10},
publisher = {Chulalongkorn University 1},
abstract = {This paper proposes the development of interworking proxy gateway for real-time data updates between IEEE1888 and ECHONET Lite standards in a building energy management system. Both IEEE1888 and ECHONET Lite are developed as open standards and hence a support for application and equipment development. IEEE1888 standard uses XML message format and is suitable for a wide range of machine-to-machine communications. ECHONET Lite standard is a highly accepted standard in Japan and with emerging supports by equipment manufacturers such as for air conditioners. This development of interworking proxy gateway in this research thus enhances the ability and flexibility in building energy management system to be compliant with different communication standards, which could be useful for both user and manufacturer sectors in the future. © 2017, Chulalongkorn University 1. All Rights Reserved.},
note = {cited By 1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper proposes the development of interworking proxy gateway for real-time data updates between IEEE1888 and ECHONET Lite standards in a building energy management system. Both IEEE1888 and ECHONET Lite are developed as open standards and hence a support for application and equipment development. IEEE1888 standard uses XML message format and is suitable for a wide range of machine-to-machine communications. ECHONET Lite standard is a highly accepted standard in Japan and with emerging supports by equipment manufacturers such as for air conditioners. This development of interworking proxy gateway in this research thus enhances the ability and flexibility in building energy management system to be compliant with different communication standards, which could be useful for both user and manufacturer sectors in the future. © 2017, Chulalongkorn University 1. All Rights Reserved.
8.
Udomsilp, K; Arayakarnkul, T; Watarakitpaisarn, S; Komolkiti, P; Rudjanakanoknad, J; Aswakul, C
Traffic data analysis on Sathorn road with synchro optimization and traffic simulation Journal Article
In: Engineering Journal, vol. 21, no. 6 Special Issue, pp. 57-67, 2017, ISSN: 01258281, (cited By 8).
@article{Udomsilp2017,
title = {Traffic data analysis on Sathorn road with synchro optimization and traffic simulation},
author = {K Udomsilp and T Arayakarnkul and S Watarakitpaisarn and P Komolkiti and J Rudjanakanoknad and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033555192&doi=10.4186%2fej.2017.21.6.57&partnerID=40&md5=cb70c7055762d87798b1e4fd2adb0b9a},
doi = {10.4186/ej.2017.21.6.57},
issn = {01258281},
year = {2017},
date = {2017-01-01},
journal = {Engineering Journal},
volume = {21},
number = {6 Special Issue},
pages = {57-67},
publisher = {Chulalongkorn University 1},
abstract = {Traffic problems have become a plague of the society that cannot be abolished. This work considers the city of Bangkok and its urban road traffic problem, with a particular focus on traffic light control. Managing traffic control by generating optimal traffic signal timing is one of the solutions to reduce the delay at intersections. Synchro is used as a platform to achieve two things in this work. First, to initialize optimal cycle lengths of the intersections on Sathorn road. Second, to assist in the implementation of reversible lane that involves two traffic signal lights in short distance. All of the data are obtained by the technical team of Sathorn Model project, most of which are based on the field work. A comparative analysis is conducted between optimal cycle lengths and the actual signal timing as operated by traffic police from real data collection to see the improvement of travel times in various cases. © 2017, Chulalongkorn University 1. All Rights Reserved.},
note = {cited By 8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Traffic problems have become a plague of the society that cannot be abolished. This work considers the city of Bangkok and its urban road traffic problem, with a particular focus on traffic light control. Managing traffic control by generating optimal traffic signal timing is one of the solutions to reduce the delay at intersections. Synchro is used as a platform to achieve two things in this work. First, to initialize optimal cycle lengths of the intersections on Sathorn road. Second, to assist in the implementation of reversible lane that involves two traffic signal lights in short distance. All of the data are obtained by the technical team of Sathorn Model project, most of which are based on the field work. A comparative analysis is conducted between optimal cycle lengths and the actual signal timing as operated by traffic police from real data collection to see the improvement of travel times in various cases. © 2017, Chulalongkorn University 1. All Rights Reserved.
9.
Singh, S K; Komolkiti, P; Aswakul, C
In: IEEE Access, vol. 6, pp. 6327-6340, 2017, ISSN: 21693536, (cited By 5).
@article{Singh2017,
title = {Impact Analysis of Start-Up Lost Time at Major Intersections on Sathorn Road Using a Synchro Optimization and a Microscopic SUMO Traffic Simulation},
author = {S K Singh and P Komolkiti and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028453091&doi=10.1109%2fACCESS.2017.2739240&partnerID=40&md5=f8592fca158bde13fb5cdacffc26e0a6},
doi = {10.1109/ACCESS.2017.2739240},
issn = {21693536},
year = {2017},
date = {2017-01-01},
journal = {IEEE Access},
volume = {6},
pages = {6327-6340},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Start-up lost time is the time lost in the starting of the green time interval when a traffic signal phase changes from red to green and previously stopped vehicles in the curb line queue need time to accelerate to the desired speed. Actual traffic data analytics from newly installed loop coil detectors at all approaching upstream road segments of major intersections on Sathorn Road in Bangkok, Thailand, are used to confirm that the vehicle flow is obstructed considerably by the large start-up lost time. In this paper, the effect of a large start-up lost time is evaluated in terms of the travel time of passenger cars in a calibrated microscopic traffic simulation. The evaluation is based on the simulation of the urban mobility platform, while the traffic signal lights at major intersections are based on the standard Synchro optimization software. By the simulation, the average travel time per vehicle increases from 4% to 37% when the start-up lost time is varied from a baseline value of 1 s to the maximum value of 15 s, which potentially occurred in the actual traffic data collection in this paper. In addition, the optimal traffic signal green phase lengths increase from 2% to 42%, depending on the volume-to-capacity ratio. The similar increasing trend of optimal green time and average travel time per vehicle is observed using theoretical analysis based on M/M/1 and D/D/1 queues to support the results from Synchro. Findings of this paper are beneficial for understanding the impact of start-up lost time at signalized intersections. © 2013 IEEE.},
note = {cited By 5},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Start-up lost time is the time lost in the starting of the green time interval when a traffic signal phase changes from red to green and previously stopped vehicles in the curb line queue need time to accelerate to the desired speed. Actual traffic data analytics from newly installed loop coil detectors at all approaching upstream road segments of major intersections on Sathorn Road in Bangkok, Thailand, are used to confirm that the vehicle flow is obstructed considerably by the large start-up lost time. In this paper, the effect of a large start-up lost time is evaluated in terms of the travel time of passenger cars in a calibrated microscopic traffic simulation. The evaluation is based on the simulation of the urban mobility platform, while the traffic signal lights at major intersections are based on the standard Synchro optimization software. By the simulation, the average travel time per vehicle increases from 4% to 37% when the start-up lost time is varied from a baseline value of 1 s to the maximum value of 15 s, which potentially occurred in the actual traffic data collection in this paper. In addition, the optimal traffic signal green phase lengths increase from 2% to 42%, depending on the volume-to-capacity ratio. The similar increasing trend of optimal green time and average travel time per vehicle is observed using theoretical analysis based on M/M/1 and D/D/1 queues to support the results from Synchro. Findings of this paper are beneficial for understanding the impact of start-up lost time at signalized intersections. © 2013 IEEE.
10.
Saha, R K; Zhao, Y; Aswakul, C
In: Engineering Journal, vol. 21, no. 4, pp. 287-305, 2017, ISSN: 01258281, (cited By 3).
@article{Saha2017a,
title = {A novel approach for centralized 3D radio resource allocation and scheduling in dense HetNets for 5G control-/user-plane separation architectures},
author = {R K Saha and Y Zhao and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027731124&doi=10.4186%2fej.2017.21.4.287&partnerID=40&md5=b207a60e0f7b77d80ce8d7324d2752d6},
doi = {10.4186/ej.2017.21.4.287},
issn = {01258281},
year = {2017},
date = {2017-01-01},
journal = {Engineering Journal},
volume = {21},
number = {4},
pages = {287-305},
publisher = {Chulalongkorn University 1},
abstract = {This paper presents a centralized 3-dimensional radio resources (namely, time, frequency, and power) allocation and scheduling approach for control-plane and user-plane (C-/U-plane) separation architectures for fifth generation mobile networks. A central station is considered where schedulers of all base stations (BSs) are located. We consider a multi-tier network that comprises of a macrocell BS (MCBS), several outdoor picocell BSs, and a number of indoor femtocell BSs (FCBSs) deployed in a number of multi-storage buildings. The system bandwidth is reused in FCBSs within each building orthogonally. In contrast to the conventional almost blank subframe, we consider a fully blank subframe based time-domain enhanced intercell interference coordination to split completely C-/U-plane traffic such that the control-plane can be served only by the MCBS and the user-plane of user equipments by their respective BSs. We propose two power management schemes for FCBSs based on whether or not the coordinated multi-point communication with joint transmission (JT CoMP) is employed during off-state of a FCBS and develop a power control mechanism for both a single user and multi-user per FCBS scenarios. An optimal value of average activation factor (OAF) for a FCBS is derived to trade-off its serving capacity and transmit power saving factor. It is shown that in order to improve the network capacity, a FCBS needs to operate at an average activation factor (AAF) greater than its OAF using JT CoMP to serve neighboring on-state FCBSs during its normal off-state, whereas at an AAF less than the OAF to improve the energy efficiency. With a system level simulation, we show that the capacity of a FCBS increases, whereas its power saving factor decreases linearly with an increase in its AAF because of serving increased traffic, and an OAF of 0.5 for the capacity scaling factor κ = 1/2 and greater than 0.5 for κ < 1 are found. © 2017, Chulalongkorn University 1. All rights reserved.},
note = {cited By 3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper presents a centralized 3-dimensional radio resources (namely, time, frequency, and power) allocation and scheduling approach for control-plane and user-plane (C-/U-plane) separation architectures for fifth generation mobile networks. A central station is considered where schedulers of all base stations (BSs) are located. We consider a multi-tier network that comprises of a macrocell BS (MCBS), several outdoor picocell BSs, and a number of indoor femtocell BSs (FCBSs) deployed in a number of multi-storage buildings. The system bandwidth is reused in FCBSs within each building orthogonally. In contrast to the conventional almost blank subframe, we consider a fully blank subframe based time-domain enhanced intercell interference coordination to split completely C-/U-plane traffic such that the control-plane can be served only by the MCBS and the user-plane of user equipments by their respective BSs. We propose two power management schemes for FCBSs based on whether or not the coordinated multi-point communication with joint transmission (JT CoMP) is employed during off-state of a FCBS and develop a power control mechanism for both a single user and multi-user per FCBS scenarios. An optimal value of average activation factor (OAF) for a FCBS is derived to trade-off its serving capacity and transmit power saving factor. It is shown that in order to improve the network capacity, a FCBS needs to operate at an average activation factor (AAF) greater than its OAF using JT CoMP to serve neighboring on-state FCBSs during its normal off-state, whereas at an AAF less than the OAF to improve the energy efficiency. With a system level simulation, we show that the capacity of a FCBS increases, whereas its power saving factor decreases linearly with an increase in its AAF because of serving increased traffic, and an OAF of 0.5 for the capacity scaling factor κ = 1/2 and greater than 0.5 for κ < 1 are found. © 2017, Chulalongkorn University 1. All rights reserved.
11.
Saha, R K; Aswakul, C
In: International Journal of Communication Systems, vol. 30, no. 11, 2017, ISSN: 10745351, (cited By 16).
@article{Saha2017,
title = {A tractable analytical model for interference characterization and minimum distance enforcement to reuse resources in three-dimensional in-building dense small cell networks},
author = {R K Saha and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009765394&doi=10.1002%2fdac.3240&partnerID=40&md5=22c5aec23fa752bb825ff9f1736c112f},
doi = {10.1002/dac.3240},
issn = {10745351},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Communication Systems},
volume = {30},
number = {11},
publisher = {John Wiley and Sons Ltd},
abstract = {In this paper, we address mainly 2 important issues, namely, characterizing co-channel interference and enforcing a minimum distance between femtocell base stations (FCBSs) for reusing resources in FCBSs deployed in a 3-dimentional multi-floor building. Each floor is modeled as a group of square-grid apartments, with one FCBS per apartment. We propose a simple yet reasonable analytical model by using planar-Wyner model for intra-floor interference and linear-Wyner model for inter-floor interference modeling in a 3-dimensional multi-floor building to derive a minimum distance between co-channel FCBSs for optimization constraints, namely, link level interference, spectral efficiency, and capacity. As opposed to orthogonal resource reuse and allocation (ORRA) where resources are reused once, using the proposed model, we develop 2 strategies for reusing resources more than once, that is, non-ORRA, within a multi-floor building. An algorithm of the proposed model is developed by including an application of the model to an ultra-dense deployment of multi-floor buildings. With an extensive numerical analysis and system level simulation, we demonstrate the capacity outperformance of non-ORRA over ORRA by manifold. Further, with a fairly accurate yet realistic estimation, we show that the expected spectral efficiency of fifth-generation networks can be achieved by applying the proposed model to an ultra-dense deployment of FCBSs. Copyright © 2017 John Wiley & Sons, Ltd.},
note = {cited By 16},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we address mainly 2 important issues, namely, characterizing co-channel interference and enforcing a minimum distance between femtocell base stations (FCBSs) for reusing resources in FCBSs deployed in a 3-dimentional multi-floor building. Each floor is modeled as a group of square-grid apartments, with one FCBS per apartment. We propose a simple yet reasonable analytical model by using planar-Wyner model for intra-floor interference and linear-Wyner model for inter-floor interference modeling in a 3-dimensional multi-floor building to derive a minimum distance between co-channel FCBSs for optimization constraints, namely, link level interference, spectral efficiency, and capacity. As opposed to orthogonal resource reuse and allocation (ORRA) where resources are reused once, using the proposed model, we develop 2 strategies for reusing resources more than once, that is, non-ORRA, within a multi-floor building. An algorithm of the proposed model is developed by including an application of the model to an ultra-dense deployment of multi-floor buildings. With an extensive numerical analysis and system level simulation, we demonstrate the capacity outperformance of non-ORRA over ORRA by manifold. Further, with a fairly accurate yet realistic estimation, we show that the expected spectral efficiency of fifth-generation networks can be achieved by applying the proposed model to an ultra-dense deployment of FCBSs. Copyright © 2017 John Wiley & Sons, Ltd.
12.
Silawan, T; Aswakul, C
SybilVote: Formulas to Quantify the Success Probability of Sybil Attack in Online Social Network Voting Journal Article
In: IEEE Communications Letters, vol. 21, no. 7, pp. 1553-1556, 2017, ISSN: 10897798, (cited By 7).
@article{Silawan2017,
title = {SybilVote: Formulas to Quantify the Success Probability of Sybil Attack in Online Social Network Voting},
author = {T Silawan and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029860144&doi=10.1109%2fLCOMM.2017.2687867&partnerID=40&md5=32a480a88964d1198ee964e317baeb06},
doi = {10.1109/LCOMM.2017.2687867},
issn = {10897798},
year = {2017},
date = {2017-01-01},
journal = {IEEE Communications Letters},
volume = {21},
number = {7},
pages = {1553-1556},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {This letter proposes to derive the success probability of Sybil attack in online social networks with the multiple-choice majority voting. The resultant SybilVote formulas produce outputs that are consistent with the Monte Carlo simulation and more accurate than the existing formula based on the multinomial distribution tail estimate. The computational complexity of SybilVote exact formulas is O((n + Sk, where n, k, and S are the number of real users, choices, and Sybil users, respectively. The accurate approximation formula of SybilVote is also presented with O(k) complexity by using a normal distribution approximation available when n and k are large in a large-population user voting condition. Finally, the effects of parameters on the success probability of Sybil attack have been investigated to highlight usefulness of the formulas. © 1997-2012 IEEE.},
note = {cited By 7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This letter proposes to derive the success probability of Sybil attack in online social networks with the multiple-choice majority voting. The resultant SybilVote formulas produce outputs that are consistent with the Monte Carlo simulation and more accurate than the existing formula based on the multinomial distribution tail estimate. The computational complexity of SybilVote exact formulas is O((n + Sk, where n, k, and S are the number of real users, choices, and Sybil users, respectively. The accurate approximation formula of SybilVote is also presented with O(k) complexity by using a normal distribution approximation available when n and k are large in a large-population user voting condition. Finally, the effects of parameters on the success probability of Sybil attack have been investigated to highlight usefulness of the formulas. © 1997-2012 IEEE.
13.
Saha, R K; Zhao, Y; Aswakul, C
In: Engineering Journal, vol. 21, no. 3, pp. 309-343, 2017, ISSN: 01258281, (cited By 1).
@article{Saha2017b,
title = {Towards 5G cellular: Understanding 3D in-building single band and multi-band small cells with control/user-plane coupled and separation architectures with a novel resource reuse approach},
author = {R K Saha and Y Zhao and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022058289&doi=10.4186%2fej.2017.21.3.309&partnerID=40&md5=b1c5fd547eeb1dd762c9eaa922a56c1c},
doi = {10.4186/ej.2017.21.3.309},
issn = {01258281},
year = {2017},
date = {2017-01-01},
journal = {Engineering Journal},
volume = {21},
number = {3},
pages = {309-343},
publisher = {Chulalongkorn University 1},
abstract = {In this paper, we present numerous small cell base station, i.e. femtocell base station (FCBS), with control-/user-plane coupled and separation architectures based on the number of transceivers and operating frequency bands to serve control-/user-plane traffic. A single transceiver enabled FCBS can operate at either a co-channel microwave of the overlaid macrocell or a millimeter wave band. For multiple transceivers, dual transceivers are considered operating at both bands. FCBSs are deployed in a number of buildings with each floor modeled as 5×5 square-grid apartments. The co-channel interference with FCBSs is avoided using enhanced intercell interference coordination techniques. We propose a static frequency reuse approach and develop an algorithm by avoiding adjacent channel interferences from reusing frequencies in FCBSs. We also develop a resource scheduling algorithm for FCBSs with CUCA and CUSA to evaluate system level performances with a multi-tier network. It is found that a single transceiver co-channel microwave enabled FCBS with CUCA provides the worse, whereas a single or dual transceivers millimeter wave enabled FCBS with CUSA provides the best overall system capacity and FCBSs’ energy efficiency performances. Besides, we show the outperformances of the proposed resource reuse approach over an existing approach in literature in terms of system capacity and fairness among FCBSs with CUCA. Finally, we point out the applicability of a multi-band enabled FCBS and several features and issues of FCBSs with CUCA and CUSA. © 2017, Chulalongkorn University 1. All rights reserved.},
note = {cited By 1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we present numerous small cell base station, i.e. femtocell base station (FCBS), with control-/user-plane coupled and separation architectures based on the number of transceivers and operating frequency bands to serve control-/user-plane traffic. A single transceiver enabled FCBS can operate at either a co-channel microwave of the overlaid macrocell or a millimeter wave band. For multiple transceivers, dual transceivers are considered operating at both bands. FCBSs are deployed in a number of buildings with each floor modeled as 5×5 square-grid apartments. The co-channel interference with FCBSs is avoided using enhanced intercell interference coordination techniques. We propose a static frequency reuse approach and develop an algorithm by avoiding adjacent channel interferences from reusing frequencies in FCBSs. We also develop a resource scheduling algorithm for FCBSs with CUCA and CUSA to evaluate system level performances with a multi-tier network. It is found that a single transceiver co-channel microwave enabled FCBS with CUCA provides the worse, whereas a single or dual transceivers millimeter wave enabled FCBS with CUSA provides the best overall system capacity and FCBSs’ energy efficiency performances. Besides, we show the outperformances of the proposed resource reuse approach over an existing approach in literature in terms of system capacity and fairness among FCBSs with CUCA. Finally, we point out the applicability of a multi-band enabled FCBS and several features and issues of FCBSs with CUCA and CUSA. © 2017, Chulalongkorn University 1. All rights reserved.
14.
Saha, R K; Aswakul, C
Incentive and Architecture of Multi-Band Enabled Small Cell and UE for Up-/Down-Link and Control-/User-Plane Splitting for 5G Mobile Networks Journal Article
In: Frequenz, vol. 71, no. 1-2, pp. 95-118, 2017, ISSN: 00161136, (cited By 8).
@article{Saha2017c,
title = {Incentive and Architecture of Multi-Band Enabled Small Cell and UE for Up-/Down-Link and Control-/User-Plane Splitting for 5G Mobile Networks},
author = {R K Saha and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011878078&doi=10.1515%2ffreq-2016-0014&partnerID=40&md5=d5c9a48552a1b62414e156ba6b610cd6},
doi = {10.1515/freq-2016-0014},
issn = {00161136},
year = {2017},
date = {2017-01-01},
journal = {Frequenz},
volume = {71},
number = {1-2},
pages = {95-118},
publisher = {Walter de Gruyter GmbH},
abstract = {In this paper, a multi-band enabled femtocell base station (FCBS) and user equipment (UE) architecture is proposed in a multi-tier network that consists of small cells, including femtocells and picocells deployed over the coverage of a macrocell for splitting uplink and downlink (UL/DL) as well as control-plane and user-plane (C-/U-plane) for 5G mobile networks. Since splitting is performed at the same FCBS, we define this architecture as the same base station based split architecture (SBSA). For multiple bands, we consider co-channel (CC) microwave and different frequency (DF) 60 GHz millimeter wave (mmWave) bands for FCBSs and UEs with respect to the microwave band used by their over-laid macrocell base station. All femtocells are assumed to be deployed in a 3-dimensional multi-storage building. For CC microwave band, cross-tier CC interference of femtocells with macrocell is avoided using almost blank subframe based enhanced inter-cell interference coordination techniques. The co-existence of CC microwave and DF mmWave bands for SBSA on the same FCBS and UE is first studied to show their performance disparities in terms of system capacity and spectral efficiency in order to provide incentives for employing multiple bands at the same FCBS and UE and identify a suitable band for routing decoupled UL/DL or C-/U-plane traffic. We then present a number of disruptive architectural design alternatives of multi-band enabled SBSA for 5G mobile networks for UL/DL and C-/U-plane splitting, including a disruptive and complete splitting of UL/DL and C-/U-plane as well as a combined UL/DL and C-/U-plane splitting, by exploiting dual connectivity on CC microwave and DF mmWave bands. The outperformances of SBSA in terms of system level capacity, average spectral efficiency, energy efficiency, and control-plane overhead traffic capacity in comparison with different base stations based split architecture (DBSA) are shown. Finally, a number of technical and business perspectives as well as key research issues of SBSA are discussed. © 2017 by De Gruyter.},
note = {cited By 8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, a multi-band enabled femtocell base station (FCBS) and user equipment (UE) architecture is proposed in a multi-tier network that consists of small cells, including femtocells and picocells deployed over the coverage of a macrocell for splitting uplink and downlink (UL/DL) as well as control-plane and user-plane (C-/U-plane) for 5G mobile networks. Since splitting is performed at the same FCBS, we define this architecture as the same base station based split architecture (SBSA). For multiple bands, we consider co-channel (CC) microwave and different frequency (DF) 60 GHz millimeter wave (mmWave) bands for FCBSs and UEs with respect to the microwave band used by their over-laid macrocell base station. All femtocells are assumed to be deployed in a 3-dimensional multi-storage building. For CC microwave band, cross-tier CC interference of femtocells with macrocell is avoided using almost blank subframe based enhanced inter-cell interference coordination techniques. The co-existence of CC microwave and DF mmWave bands for SBSA on the same FCBS and UE is first studied to show their performance disparities in terms of system capacity and spectral efficiency in order to provide incentives for employing multiple bands at the same FCBS and UE and identify a suitable band for routing decoupled UL/DL or C-/U-plane traffic. We then present a number of disruptive architectural design alternatives of multi-band enabled SBSA for 5G mobile networks for UL/DL and C-/U-plane splitting, including a disruptive and complete splitting of UL/DL and C-/U-plane as well as a combined UL/DL and C-/U-plane splitting, by exploiting dual connectivity on CC microwave and DF mmWave bands. The outperformances of SBSA in terms of system level capacity, average spectral efficiency, energy efficiency, and control-plane overhead traffic capacity in comparison with different base stations based split architecture (DBSA) are shown. Finally, a number of technical and business perspectives as well as key research issues of SBSA are discussed. © 2017 by De Gruyter.
15.
Saha, R K; Saengudomlert, P; Aswakul, C
Evolution toward 5G mobile networks - A survey on enabling technologies Journal Article
In: Engineering Journal, vol. 20, no. 1, pp. 87-119, 2016, ISSN: 01258281, (cited By 43).
@article{Saha2016,
title = {Evolution toward 5G mobile networks - A survey on enabling technologies},
author = {R K Saha and P Saengudomlert and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956889258&doi=10.4186%2fej.2016.20.1.87&partnerID=40&md5=9857acb6c8a8b0b98af0aeace7d70222},
doi = {10.4186/ej.2016.20.1.87},
issn = {01258281},
year = {2016},
date = {2016-01-01},
journal = {Engineering Journal},
volume = {20},
number = {1},
pages = {87-119},
publisher = {Chulalongkorn University 1},
abstract = {In this paper, an extensive review has been carried out on the trends of existing as well as proposed potential enabling technologies that are expected to shape the fifth generation (5G) mobile wireless networks. Based on the classification of the trends, we develop a 5G network architectural evolution framework that comprises three evolutionary directions, namely, (1) radio access network node and performance enabler, (2) network control programming platform, and (3) backhaul network platform and synchronization. In (1), we discuss node classification including low power nodes in emerging machine-type communications, and network capacity enablers, e.g., millimeter wave communications and massive multiple-input multiple-output. In (2), both logically distributed cell/device-centric platforms, and logically centralized conventional/wireless software defined networking control programming approaches are discussed. In (3), backhaul networks and network synchronization are discussed. A comparative analysis for each direction as well as future evolutionary directions and challenges toward 5G networks are discussed. This survey will be helpful for further research exploitations and network operators for a smooth evolution of their existing networks toward 5G networks. © 2016, Chulalongkorn University 1. All rights reserved.},
note = {cited By 43},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, an extensive review has been carried out on the trends of existing as well as proposed potential enabling technologies that are expected to shape the fifth generation (5G) mobile wireless networks. Based on the classification of the trends, we develop a 5G network architectural evolution framework that comprises three evolutionary directions, namely, (1) radio access network node and performance enabler, (2) network control programming platform, and (3) backhaul network platform and synchronization. In (1), we discuss node classification including low power nodes in emerging machine-type communications, and network capacity enablers, e.g., millimeter wave communications and massive multiple-input multiple-output. In (2), both logically distributed cell/device-centric platforms, and logically centralized conventional/wireless software defined networking control programming approaches are discussed. In (3), backhaul networks and network synchronization are discussed. A comparative analysis for each direction as well as future evolutionary directions and challenges toward 5G networks are discussed. This survey will be helpful for further research exploitations and network operators for a smooth evolution of their existing networks toward 5G networks. © 2016, Chulalongkorn University 1. All rights reserved.
16.
Chanloha, P; Chinrungrueng, J; Usaha, W; Aswakul, C
Traffic signal control with cell transmission model using reinforcement learning for total delay minimisation Journal Article
In: International Journal of Computers, Communications and Control, vol. 10, no. 5, pp. 627-642, 2015, ISSN: 18419836, (cited By 1).
@article{Chanloha2015,
title = {Traffic signal control with cell transmission model using reinforcement learning for total delay minimisation},
author = {P Chanloha and J Chinrungrueng and W Usaha and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938570194&doi=10.15837%2fijccc.2015.5.2025&partnerID=40&md5=14f79999e9828e5e118771ef8770c14d},
doi = {10.15837/ijccc.2015.5.2025},
issn = {18419836},
year = {2015},
date = {2015-01-01},
journal = {International Journal of Computers, Communications and Control},
volume = {10},
number = {5},
pages = {627-642},
publisher = {Agora University},
abstract = {This paper proposes a new framework to control the traffic signal lights by applying the automated goal-directed learning and decision making scheme, namely the reinforcement learning (RL) method, to seek the best possible traffic signal actions upon changes of network state modelled by the signalised cell transmission model (CTM). This paper employs the Q-learning which is one of the RL tools in order to find the traffic signal solution because of its adaptability in finding the real time solution upon the change of states. The goal is for RL to minimise the total network delay. Surprisingly, by using the total network delay as a reward function, the results were not necessarily as good as initially expected. Rather, both simulation and mathematical derivation results confirm that using the newly proposed red light delay as the RL reward function gives better performance than using the total network delay as the reward function. The investigated scenarios include the situations where the summation of overall traffic demands exceeds the maximum flow capacity. Reported results show that our proposed framework using RL and CTM in the macroscopic level can computationally efficiently find the proper control solution close to the brute-forcely searched best periodic signal solution (BPSS). For the practical case study conducted by AIMSUN microscopic traffic simulator, the proposed CTM-based RL reveals that the reduction of the average delay can be significantly decreased by 40% with bus lane and 38% without bus lane in comparison with the case of currently used traffic signal strategy. Therefore, the CTM-based RL algorithm could be a useful tool to adjust the proper traffic signal light in practice. © 2006-2015 by CCC Publications.},
note = {cited By 1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper proposes a new framework to control the traffic signal lights by applying the automated goal-directed learning and decision making scheme, namely the reinforcement learning (RL) method, to seek the best possible traffic signal actions upon changes of network state modelled by the signalised cell transmission model (CTM). This paper employs the Q-learning which is one of the RL tools in order to find the traffic signal solution because of its adaptability in finding the real time solution upon the change of states. The goal is for RL to minimise the total network delay. Surprisingly, by using the total network delay as a reward function, the results were not necessarily as good as initially expected. Rather, both simulation and mathematical derivation results confirm that using the newly proposed red light delay as the RL reward function gives better performance than using the total network delay as the reward function. The investigated scenarios include the situations where the summation of overall traffic demands exceeds the maximum flow capacity. Reported results show that our proposed framework using RL and CTM in the macroscopic level can computationally efficiently find the proper control solution close to the brute-forcely searched best periodic signal solution (BPSS). For the practical case study conducted by AIMSUN microscopic traffic simulator, the proposed CTM-based RL reveals that the reduction of the average delay can be significantly decreased by 40% with bus lane and 38% without bus lane in comparison with the case of currently used traffic signal strategy. Therefore, the CTM-based RL algorithm could be a useful tool to adjust the proper traffic signal light in practice. © 2006-2015 by CCC Publications.
17.
Chanloha, P; Chinrungrueng, J; Usaha, W; Aswakul, C
Cell transmission model-based multiagent Q-learning for network-scale signal control with transit priority Journal Article
In: Computer Journal, vol. 57, no. 3, pp. 451-468, 2014, ISSN: 00104620, (cited By 1).
@article{Chanloha2014,
title = {Cell transmission model-based multiagent Q-learning for network-scale signal control with transit priority},
author = {P Chanloha and J Chinrungrueng and W Usaha and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897724301&doi=10.1093%2fcomjnl%2fbxt126&partnerID=40&md5=59596cddc5a80e13027fdf090d1b5f02},
doi = {10.1093/comjnl/bxt126},
issn = {00104620},
year = {2014},
date = {2014-01-01},
journal = {Computer Journal},
volume = {57},
number = {3},
pages = {451-468},
abstract = {This paper addresses the development of a new framework to control traffic signal lights for a road network with a recently introduced bus rapid transit (BRT) system. By applying automated goal-directed learning and decision-making called reinforcement learning, the best possible traffic signal actions can be sought upon changes of network states as modelled by the signalized cell transmission model (CTM). An extension to a network of cascading interactions with a BRT system has been proposed with simple uni-directional flows without turning movements. Motivated by the BRT system in Thailand, the conventional signalized CTM has been generalized to cope with the preplanned space-usage priority of a BRT over other non-priority vehicles. A BRT physical lane separator as well as the location of BRT stations have been explicitly modelled. The delay function of both carried passengers on BRT and on other non-priority vehicles as well as waiting passengers at stations has been introduced. The deployment of BRT system with one lane deducted by the lane separator cannot reduce the total passenger delay in comparison with the same road and traffic condition before the installation of the BRT system. Moreover, our proposed method outperforms preemptive and differential priority control methods because of the improved awareness of the signal switching cost. © The British Computer Society 2013.},
note = {cited By 1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper addresses the development of a new framework to control traffic signal lights for a road network with a recently introduced bus rapid transit (BRT) system. By applying automated goal-directed learning and decision-making called reinforcement learning, the best possible traffic signal actions can be sought upon changes of network states as modelled by the signalized cell transmission model (CTM). An extension to a network of cascading interactions with a BRT system has been proposed with simple uni-directional flows without turning movements. Motivated by the BRT system in Thailand, the conventional signalized CTM has been generalized to cope with the preplanned space-usage priority of a BRT over other non-priority vehicles. A BRT physical lane separator as well as the location of BRT stations have been explicitly modelled. The delay function of both carried passengers on BRT and on other non-priority vehicles as well as waiting passengers at stations has been introduced. The deployment of BRT system with one lane deducted by the lane separator cannot reduce the total passenger delay in comparison with the same road and traffic condition before the installation of the BRT system. Moreover, our proposed method outperforms preemptive and differential priority control methods because of the improved awareness of the signal switching cost. © The British Computer Society 2013.
18.
Trinh, T; Esaki, H; Aswakul, C
Dynamic virtual network allocation for openflow based cloud resident data center Journal Article
In: IEICE Transactions on Communications, vol. E96-B, no. 1, pp. 56-64, 2013, ISSN: 09168516, (cited By 4).
@article{Trinh2013,
title = {Dynamic virtual network allocation for openflow based cloud resident data center},
author = {T Trinh and H Esaki and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871742225&doi=10.1587%2ftranscom.E96.B.56&partnerID=40&md5=7f557001ba22c4bc888ee32ae82e2d9a},
doi = {10.1587/transcom.E96.B.56},
issn = {09168516},
year = {2013},
date = {2013-01-01},
journal = {IEICE Transactions on Communications},
volume = {E96-B},
number = {1},
pages = {56-64},
publisher = {Institute of Electronics, Information and Communication, Engineers, IEICE},
abstract = {Dynamic virtual network allocation is a promising traffic control model for cloud resident data center which offers virtual data centers for customers from the provider's substrate cloud. Unfortunately, dynamic virtual network allocation designed in the past was aimed to the Internet so it needs distributed control methods to scale with such a large network. The price for the scalability of the completely distributed control method at both virtual layer and substrate layer is the slow convergence of algorithm and the less stability of traffic. In this paper, we argue that the distributed controls in both virtual and substrate networks are not necessary for the cloud resident data center environment, because cloud resident data center uses centralized controller as the way to give network control features to customers. In fact, we can use the centralized algorithm in each virtual data center which is not very large network and the distributed algorithm is only needed in substrate network. Based on the specific properties of this model, we have used optimization theory to re-design the substrate algorithm for periodically re-adjusting virtual link capacity. Results from theoretical analysis, simulations, and experiments show that our algorithm has faster convergence time, simpler calculation and can make better use of the feedback information from virtual networks than the previous algorithm. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.},
note = {cited By 4},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Dynamic virtual network allocation is a promising traffic control model for cloud resident data center which offers virtual data centers for customers from the provider's substrate cloud. Unfortunately, dynamic virtual network allocation designed in the past was aimed to the Internet so it needs distributed control methods to scale with such a large network. The price for the scalability of the completely distributed control method at both virtual layer and substrate layer is the slow convergence of algorithm and the less stability of traffic. In this paper, we argue that the distributed controls in both virtual and substrate networks are not necessary for the cloud resident data center environment, because cloud resident data center uses centralized controller as the way to give network control features to customers. In fact, we can use the centralized algorithm in each virtual data center which is not very large network and the distributed algorithm is only needed in substrate network. Based on the specific properties of this model, we have used optimization theory to re-design the substrate algorithm for periodically re-adjusting virtual link capacity. Results from theoretical analysis, simulations, and experiments show that our algorithm has faster convergence time, simpler calculation and can make better use of the feedback information from virtual networks than the previous algorithm. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.
19.
Komolkiti, P; Aswakul, C
Per-hop condition for optimal end-to-end capacity of 1-dimensional wireless ad hoc networks Journal Article
In: IEEE Communications Letters, vol. 15, no. 12, pp. 1365-1367, 2011, ISSN: 10897798, (cited By 0).
@article{Komolkiti2011,
title = {Per-hop condition for optimal end-to-end capacity of 1-dimensional wireless ad hoc networks},
author = {P Komolkiti and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84555191855&doi=10.1109%2fLCOMM.2011.101411.111807&partnerID=40&md5=ceb4167170d6e9d80bf9cd931d7e20d7},
doi = {10.1109/LCOMM.2011.101411.111807},
issn = {10897798},
year = {2011},
date = {2011-01-01},
journal = {IEEE Communications Letters},
volume = {15},
number = {12},
pages = {1365-1367},
abstract = {The aim of this paper is to disclose the physical constraints that govern the capacity of the multi-hop ad hoc communications in homogeneous interference environment. Based on the Shannon capacity theorem, the end-to-end capacity is analytically derived. The final result is shown as the optimal per-hop condition, a criterion in choosing relay nodes that maximize the end-to-end capacity. Particularly, it has been here found that the optimal next-hop node can be solely determined by the local information of SINR, independent of the distance to reach final destinations. The results can provide valuable insights to WMN relay placement design and wireless ad hoc routing protocols for bandwidth-sensitive applications. © 2006 IEEE.},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The aim of this paper is to disclose the physical constraints that govern the capacity of the multi-hop ad hoc communications in homogeneous interference environment. Based on the Shannon capacity theorem, the end-to-end capacity is analytically derived. The final result is shown as the optimal per-hop condition, a criterion in choosing relay nodes that maximize the end-to-end capacity. Particularly, it has been here found that the optimal next-hop node can be solely determined by the local information of SINR, independent of the distance to reach final destinations. The results can provide valuable insights to WMN relay placement design and wireless ad hoc routing protocols for bandwidth-sensitive applications. © 2006 IEEE.
20.
Aramvith, S; Aswakul, C; Saivichit, C; Prapinmongkolkarn, P; Aimdilokwong, A
NGN trial use and test site in Phuket, Thailand by national telecommunications commission (NTC) and Chula UniSearch Journal Article
In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 46, pp. 622-625, 2011, ISSN: 18678211, (cited By 0; Conference of 6th International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TRIDENTCOM 2010 ; Conference Date: 18 May 2010 Through 20 May 2010; Conference Code:98879).
@article{Aramvith2011,
title = {NGN trial use and test site in Phuket, Thailand by national telecommunications commission (NTC) and Chula UniSearch},
author = {S Aramvith and C Aswakul and C Saivichit and P Prapinmongkolkarn and A Aimdilokwong},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885886930&doi=10.1007%2f978-3-642-17851-1_60&partnerID=40&md5=9e13655b2bfccec818a42bc7861de6af},
doi = {10.1007/978-3-642-17851-1_60},
issn = {18678211},
year = {2011},
date = {2011-01-01},
journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},
volume = {46},
pages = {622-625},
address = {Berlin},
abstract = {National Telecommunication Commission of Thailand has initiated the pilot project which involved the trial and testbed of Next Generation Networks (NGNs) technology in Phuket, Thailand. This project consists of many new technologies implementation in the real environment. In order to implement the NGN technology successfully, we need to be able to summarize the outcomes of these deployment and prepare for improvement in the future. This project also extends the test to the communities in Phuket such as E- Learning applications. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2011.},
note = {cited By 0; Conference of 6th International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TRIDENTCOM 2010 ; Conference Date: 18 May 2010 Through 20 May 2010; Conference Code:98879},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
National Telecommunication Commission of Thailand has initiated the pilot project which involved the trial and testbed of Next Generation Networks (NGNs) technology in Phuket, Thailand. This project consists of many new technologies implementation in the real environment. In order to implement the NGN technology successfully, we need to be able to summarize the outcomes of these deployment and prepare for improvement in the future. This project also extends the test to the communities in Phuket such as E- Learning applications. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2011.
21.
Suksomboon, K; Pongpaibool, P; Ji, Y; Aswakul, C
PC-nash: QoS provisioning framework with path-classification scheme under nash equilibrium Journal Article
In: Computer Journal, vol. 54, no. 6, pp. 931-943, 2011, ISSN: 00104620, (cited By 3).
@article{Suksomboon2011,
title = {PC-nash: QoS provisioning framework with path-classification scheme under nash equilibrium},
author = {K Suksomboon and P Pongpaibool and Y Ji and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79958196447&doi=10.1093%2fcomjnl%2fbxq084&partnerID=40&md5=5d9569b1129acb9cdea130a2fcfc2b9c},
doi = {10.1093/comjnl/bxq084},
issn = {00104620},
year = {2011},
date = {2011-01-01},
journal = {Computer Journal},
volume = {54},
number = {6},
pages = {931-943},
abstract = {With a formulated game of non-cooperative internet service providers (ISPs), this paper proposes a new framework for apportioning ISP's responsibility in an end-to-end quality of service (QoS) request. The strategy is based on Path-Classification scheme under Nash equilibrium (PC-Nash), which is obtained by classifying paths according to the quantized QoS level. Optimal QoS-level selection of individual ISP is then captured by the Nash equilibrium. To facilitate the game solution searching, a loss network model is derived for the call acceptance probabilities and the expected utility values. Solutions provided by PC-Nash are compared with three conventional policies, i.e. most-effort (ME), least-effort (LE) and equal-distribution (ED). The reported results show the conformity of call acceptance probabilities between mathematical analysis and discrete-event simulations. Furthermore, with the utility functions of practical service models, ME and LE are found to provide comparable utilities to PC-Nash with respect to peer and retail/wholesale service models, respectively, for a network with the same path quality. However, for networks with different path qualities, PC-Nash outperforms all the conventional policies significantly. From this evidence, PC-Nash is thus expected to be useful in QoS provisioning of practical inter-domain networks. © 2010 The Author Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.},
note = {cited By 3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
With a formulated game of non-cooperative internet service providers (ISPs), this paper proposes a new framework for apportioning ISP's responsibility in an end-to-end quality of service (QoS) request. The strategy is based on Path-Classification scheme under Nash equilibrium (PC-Nash), which is obtained by classifying paths according to the quantized QoS level. Optimal QoS-level selection of individual ISP is then captured by the Nash equilibrium. To facilitate the game solution searching, a loss network model is derived for the call acceptance probabilities and the expected utility values. Solutions provided by PC-Nash are compared with three conventional policies, i.e. most-effort (ME), least-effort (LE) and equal-distribution (ED). The reported results show the conformity of call acceptance probabilities between mathematical analysis and discrete-event simulations. Furthermore, with the utility functions of practical service models, ME and LE are found to provide comparable utilities to PC-Nash with respect to peer and retail/wholesale service models, respectively, for a network with the same path quality. However, for networks with different path qualities, PC-Nash outperforms all the conventional policies significantly. From this evidence, PC-Nash is thus expected to be useful in QoS provisioning of practical inter-domain networks. © 2010 The Author Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
22.
Tuerprasert, K; Aswakul, C
Multiclass cell transmission model for heterogeneous mobility in general topology of road network Journal Article
In: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, vol. 14, no. 2, pp. 68-82, 2010, ISSN: 15472450, (cited By 30).
@article{Tuerprasert2010,
title = {Multiclass cell transmission model for heterogeneous mobility in general topology of road network},
author = {K Tuerprasert and C Aswakul},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951946519&doi=10.1080%2f15472451003719715&partnerID=40&md5=721f991a823d6b727ec420e80f52f8c3},
doi = {10.1080/15472451003719715},
issn = {15472450},
year = {2010},
date = {2010-01-01},
journal = {Journal of Intelligent Transportation Systems: Technology, Planning, and Operations},
volume = {14},
number = {2},
pages = {68-82},
abstract = {This article is concerned with a mathematical generalization of macroscopic road network mobility model, the cell transmission model. The objective is to enhance the conventional single-class cell transmission model (S-CTM) to a more generalized multiclass cell transmission model (M-CTM). This latter model can take into account the mixed composition of vehicle classes (i.e., with distinct free-flow speed and vehicle length). The aim is to introduce head-of-cell and end-of-cell vehicles into the model. Cascading, merging, and diverging scenarios of cells for M-CTM have been formulated so that the model can be applied to a general topology of road network. Experimental results are provided to compare S-CTM and M-CTM in 6 network test cases with the microscopic simulatorMITSIMand to actual measurement of network traffic conditions. The results suggest that M-CTM is significantly more accurate than S-CTM in the tested networks with nonstationary vehicle composition, with platoon dispersions and with time-varying jam status. In addition, accuracy improvement of M-CTM is obtained without compromising the computational complexity. It is therefore expected that the proposed M-CTM would be well applicable in practice. Copyright © Taylor and Francis Group, LLC.},
note = {cited By 30},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article is concerned with a mathematical generalization of macroscopic road network mobility model, the cell transmission model. The objective is to enhance the conventional single-class cell transmission model (S-CTM) to a more generalized multiclass cell transmission model (M-CTM). This latter model can take into account the mixed composition of vehicle classes (i.e., with distinct free-flow speed and vehicle length). The aim is to introduce head-of-cell and end-of-cell vehicles into the model. Cascading, merging, and diverging scenarios of cells for M-CTM have been formulated so that the model can be applied to a general topology of road network. Experimental results are provided to compare S-CTM and M-CTM in 6 network test cases with the microscopic simulatorMITSIMand to actual measurement of network traffic conditions. The results suggest that M-CTM is significantly more accurate than S-CTM in the tested networks with nonstationary vehicle composition, with platoon dispersions and with time-varying jam status. In addition, accuracy improvement of M-CTM is obtained without compromising the computational complexity. It is therefore expected that the proposed M-CTM would be well applicable in practice. Copyright © Taylor and Francis Group, LLC.
23.
Aswakul, C; Barria, J A
Performance analysis of threshold based bandwidth allocation scheme for IP traffic on ATM networks Journal Article
In: IEE Proceedings: Communications, vol. 149, no. 1, pp. 29-35, 2002, ISSN: 13502425, (cited By 2).
@article{Aswakul2002,
title = {Performance analysis of threshold based bandwidth allocation scheme for IP traffic on ATM networks},
author = {C Aswakul and J A Barria},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036477301&doi=10.1049%2fip-com%3a20020030&partnerID=40&md5=acd48e483d2232731fb0def855fbb0d6},
doi = {10.1049/ip-com:20020030},
issn = {13502425},
year = {2002},
date = {2002-01-01},
journal = {IEE Proceedings: Communications},
volume = {149},
number = {1},
pages = {29-35},
abstract = {The authors analyse a discrete-time based finite queueing model with deterministic service times and a Markov modulated batch Bernoulli process (MMBBP) as a bursty input traffic model in order to investigate the performance of a double threshold based dynamic bandwidth allocation scheme for IP traffic on ATM networks. It is assumed that the segmentation processing time devoted to each cell requires several slot times. In an MMBBP process, the arrivals during a slot time occur as batch Bernoulli processes with the batch size distributions varying according to the phases of a Markov chain. As performance measures, the packet loss probability and the mean packet delay of an arbitrary packet are obtained. Some numerical results are presented to show the performance of the dynamic bandwidth allocation scheme.},
note = {cited By 2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The authors analyse a discrete-time based finite queueing model with deterministic service times and a Markov modulated batch Bernoulli process (MMBBP) as a bursty input traffic model in order to investigate the performance of a double threshold based dynamic bandwidth allocation scheme for IP traffic on ATM networks. It is assumed that the segmentation processing time devoted to each cell requires several slot times. In an MMBBP process, the arrivals during a slot time occur as batch Bernoulli processes with the batch size distributions varying according to the phases of a Markov chain. As performance measures, the packet loss probability and the mean packet delay of an arbitrary packet are obtained. Some numerical results are presented to show the performance of the dynamic bandwidth allocation scheme.
24.
Aswakul, C; Barria, J A
Analysis of dynamic service separation with trunk reservation policy Journal Article
In: IEE Proceedings: Communications, vol. 149, no. 1, pp. 23-28, 2002, ISSN: 13502425, (cited By 8).
@article{Aswakul2002a,
title = {Analysis of dynamic service separation with trunk reservation policy},
author = {C Aswakul and J A Barria},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036477247&doi=10.1049%2fip-com%3a20020036&partnerID=40&md5=9a3841f90ae75c364da5e67cc3d30c6d},
doi = {10.1049/ip-com:20020036},
issn = {13502425},
year = {2002},
date = {2002-01-01},
journal = {IEE Proceedings: Communications},
volume = {149},
number = {1},
pages = {23-28},
abstract = {The paper is concerned with the analysis of dynamic service separation under the trunk reservation policy. In the framework of dynamic service separation, statistical multiplexing of cell streams from each service can be well captured by an equivalent capacity that may take a nonlinear form. The conventional trunk reservation policy is extended to consider the nonlinear equivalent capacity. Various connection admission control schemes are formulated to implement blocking equalisation and blocking prioritisation regimes. In particular, the fixed, state-dependent, and hybrid trunk reservation schemes are proposed and compared with the complete sharing scenario. To solve the call-blocking probabilities, a simple yet efficient approximation procedure is carried out, based on an extension of the linear approximation model. Numerical results are reported on the effectiveness of the formulated blocking equalisation and blocking prioritisation regimes, and the degree of accuracy of the proposed approximation procedure.},
note = {cited By 8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The paper is concerned with the analysis of dynamic service separation under the trunk reservation policy. In the framework of dynamic service separation, statistical multiplexing of cell streams from each service can be well captured by an equivalent capacity that may take a nonlinear form. The conventional trunk reservation policy is extended to consider the nonlinear equivalent capacity. Various connection admission control schemes are formulated to implement blocking equalisation and blocking prioritisation regimes. In particular, the fixed, state-dependent, and hybrid trunk reservation schemes are proposed and compared with the complete sharing scenario. To solve the call-blocking probabilities, a simple yet efficient approximation procedure is carried out, based on an extension of the linear approximation model. Numerical results are reported on the effectiveness of the formulated blocking equalisation and blocking prioritisation regimes, and the degree of accuracy of the proposed approximation procedure.