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作者:

Wang, Z. (Wang, Z..) (学者:王湛) | Sun, E. (Sun, E..) | Li, M. (Li, M..) (学者:栗觅) | Li, J. (Li, J..) | Zhang, Y. (Zhang, Y..) (学者:张勇)

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Scopus

摘要:

To optimize uplink random access procedure, improve resource utilization and allocate limited radio resources reasonably of Machine-to-Machine (M2M) communication in cellular networks, we propose a novel two-level controlling framework for M2M communications in software defined cellular networks with wireless network virtualization. In our proposed framework, substrate physical M2M network is abstracted and sliced into multiple virtual M2M networks, each is controlled by a virtual SDN controller. By decoupling control plane from the virtual base station and by the interaction between virtual controller and virtual equipments, random access procedures can be optimized and throughput can be increased. Furthermore, we propose a modified particle swarm optimization-simulated annealing (PSO-SA) algorithm, named temperature in SA changing inertia weight PSO algorithm (TCIWPSO-SA), to allocate virtual radio resources reasonably in order to maximize fairness among virtual networks. Extensive simulation results with different system parameters are presented to show that the proposed scheme and algorithm can achieve considerable performance gains in both throughput and fairness of virtual resource allocation. © 2018 Old City Publishing, Inc.

关键词:

Machine-to-machine communications; Random access; Resource allocation; Software defined networks; Wireless network virtualization

作者机构:

  • [ 1 ] [Wang, Z.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wang, Z.]Faculty of Information Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Wang, Z.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
  • [ 4 ] [Sun, E.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Sun, E.]Faculty of Information Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Sun, E.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
  • [ 7 ] [Li, M.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Li, M.]Faculty of Information Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 9 ] [Li, M.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China
  • [ 10 ] [Li, J.]Department of Industrial Design, Beijing University of Technology, Beijing, 100124, China
  • [ 11 ] [Zhang, Y.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 12 ] [Zhang, Y.]Faculty of Information Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 13 ] [Zhang, Y.]Beijing Laboratory of Advanced Information Networks, Beijing, 100124, China

通讯作者信息:

  • [Sun, E.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of TechnologyChina

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来源 :

Ad-Hoc and Sensor Wireless Networks

ISSN: 1551-9899

年份: 2018

期: 1-2

卷: 40

页码: 97-118

0 . 9 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:81

JCR分区:4

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