期刊文献+

认知无线电网络中基于排队论的集中式频谱分配策略 被引量:9

Queuing theory based centralized dynamic spectrum allocation scheme in cognitive radio networks
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摘要 传统的基于图着色模型和基于博弈论模型的动态频谱分配算法因存在计算复杂度高、收敛速度慢等缺陷,在实际网络环境中会造成很大的时延和能耗开销。针对主次用户共存,主用户交替转移忙闲状态的网络环境下,基于排队论模型提出了一种高效、低能耗的集中式频谱分配方案,并给出了该方案下次要用户的平均阻塞率和强制中断率的解析表达式。理论分析和仿真结果表明,所提的方案能够大幅度降低节点能耗。 The traditional dynamic spectrum allocation (DSA) algorithms such as coloring based and game theory based algo- rithms had the shortcomings of high energy consumption and computational complexity, and thus were not suitable in practical. This paper proposed a high efficiency and low energy consumption DSA scheme based on queuing theory while PU and SUs co- exist in the same CRN and each PU could be either active (ON) or inactive (OFF) in any given slot. Analytical expressions of some key network parameters including the average block probability and the break probability of secondary user under the proposed scheme was given. Besides, simulations are conducted to verify the effectiveness of the proposed scheme, with ad- vantages lower energy consumption
出处 《计算机应用研究》 CSCD 北大核心 2015年第1期187-190,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(60903196 61272451 61173154) 国家新一代宽带无线移动通信网络重大专项基金资助项目(2010ZX03006-001-01)
关键词 认知无线电网络 动态频谱分配 排队论 阻塞率 强制中断率 cognitive radio network dynamic spectrum allocation queuing theory block probability break probability
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参考文献17

  • 1KOLODZY P, AVOIDANCE I. Federal communications commission spectrum policy task force report[R]. [S. 1. ] : ET Docket, 2002:2- 135.
  • 2ELLINGSON S W. Spectral occupancy at VHF: implications ibr fre- quency-agile cognitive radios[ C ]//Proe of IEEE Vehicular Technolo- gy Conference. 2005.
  • 3Federal Communications Commission. Notice of proposed rule making and order: facilitating opportunities for flexible, efficient, and relia- ble spectrum use employing cognitive radio technologies [ R ]. [ S. 1. ] : ET Docket, 2005 : 103-108.
  • 4MITOLA Ⅲ J, Jr MAGUIRE G Q. Cognitive radio: making software radios more personal [ J ]. IEEE Personal Communications, 1999, 6(4) :13-18.
  • 5WANG W, LIU X. List-coloring based channel allocation for open- spectrum wireless networks [ C ]//Proc of the 62nd IEEE Vehicular Technology Conference. 2005.
  • 6ZHENG H, PENG C. Collaboration and fairness in opportunistic spectrum access [ C ]//Proc of IEEE International Conference on Com- munications. [ S. 1. ] : IEEE Press,2005 : 3132-3136.
  • 7PENG C, ZHENG H, ZHAO B Y. Utilization and fairness in spec- trum assignment for opportunistic spectrum access [ J ]. Mobile Net- works and Applications, 2006,11 (4) :555-576.
  • 8CAO Li-li, ZHENG Hai-tao. Distributed spectrum allocation via local bargaining[ C]//Proc of the 2nd SECON. [ S. 1. ] : IEEE Press, 2005 : 475-486.
  • 9FELEGYHAZI M, CAGALJ M, HUBAUX J P. Efficient MAC in cognitive radio systems: a game-theoretic approach[ J]. IEEE Trans on Wireless Communications, 2009, 8 (4) : 1984-1995.
  • 10张龙,周贤伟,王建萍,黄伟,马忠贵.CR系统中基于微分博弈的功率控制算法[J].电子与信息学报,2010,32(1):141-145. 被引量:5

二级参考文献27

  • 1田峰,程世伦,杨震.无线区域网和认知无线电技术(1)[J].中兴通讯技术,2006,12(4):61-64. 被引量:10
  • 2Ishibashi B, Bouabdallah N, and Boutaba R. QoS performance analysis of cognitive radio-based virtual wireless ntworks[C]. IEEE INFOCOM 2008, Phoenix, 2008: 2423-2431.
  • 3Attar A, Nakhai M R, and Aghvami A H. Cognitive radio game: A framework for efficiency, fairness and QoS guarantee[C]. IEEE ICC 2008, Beijing, 2008: 4170-4174.
  • 4Su Hang and Zhang Xi. Cross-layer based opportunistic MAC protocols for QoS provisioning over cognitive radio wireless networks [J]. IEEE Selected Areas in Communications, 2008, 26(1): 118-129.
  • 5Capar F, Martoyo I, and Weiss T, et bandwidth utilization for controlled al.. Comparison of and uncontrolled channel allocation in a spectrum pooling systemiC]. IEEE Spring VTC 2002, Birmingham, 2002: 1069-1073.
  • 6Tang P K, Chew Y H, Ong L C, and Haldar M K. Performance of secondary radios in spectrum sharing with prioritized primary access[C]. Military Communications Conference 2006, Washington, DC, 2006: 1-7.
  • 7IEEE P802.22^TM/D0.3, Draft standard for wireless regional area networks part 22: Cognitive wireless RAN Medium Access Control and Physical Layer specifications, 2007.
  • 8ETSI. Digital cellular telecommunications system (phase 2+), General Packet Radio Service (GPRS), Stage 2 + ETSI GSM03. 64[E]. Version 7. 0.0. 1999.
  • 9Mitola J and Maguire G. Cognitive radio: making software radios more personal. IEEE Personal Communications, 1999, 6(4): 13-18.
  • 10Haykin S. Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.

共引文献23

同被引文献56

  • 1陆传赉.排队论[M].北京:北京邮电学院出版社,1993.
  • 2Tang P K, Chew Y H, Ong L C. Performance of secondary radios in spectrum sharing with prioritized primary access [C]. IEEE Military Communication Conference, 2006: 1-7.
  • 3Tang P K, Chew Y H. On the modeling and performance of three opportunistic spectrum access schemes [J]. IEEE Transactions on Vehicular Technology, 2010, 59(8): 4070- 4078.
  • 4Qianchuan Zhao; Geirhofer S, Lang Tong, Sadler B M. Opportunistic spectrum access via periodic channel sensing [J]. IEEE Transactions on Signal Processing, 2008, 56(2): 785-796.
  • 5Yunxia Chen, Qing Zhao, Swami A. Joint design and separation principle for opportunistic spectrum access in the presence of sensing errors [J]. IEEE Transactions on Information Theory, 2008, 54(5): 2053-2071.
  • 6Tijms H C. A first course in stochastic models [M]. New York: Wiley, 2002.
  • 7KRISHNA REEDY G V, NADARAJAN R. A nonpreemptive priori- ty multiserver queueing system with general bulk service and hetero- geneous arrivals [ J]. Journal of Computer Operations Research, 1993, 20 (4): 447-453.
  • 8DEL RE E, FANTACCI R. Performance evaluation of input and output queuing techniques in ATM switching systems [ J]. IEEE Transactions on Communications, 1993, 41(10) : 1565 - 1575.
  • 9CHENG J, TANG Y H. Reliability analysis of M/G/1 repairable queueing system with multiple adaptive vacations and p-entering discipline [ J]. Journal of Mathematical and Computational Appli- cations, 2014, 19(2) : 105 - 114.
  • 10IBE O C. M/G/1 vacation queueing systems with server timeout [ J]. Journal of American Journal of Operations Research, 2015, 5 (2): 77-88.

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