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具有天线选择的认知MISO系统中断性能分析

Outage performance of MISO-CR with antenna selection
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摘要 针对认知MISO系统,分析了三种天线选择方案下次用户的中断性能。与已有文献不同,不仅考虑了次用户对主用户的干扰功率约束,还考虑了次用户发送峰值功率约束和主用户对次用户的干扰。进一步基于不同的天线选择方案,从理论上推导出次用户中断概率的闭合表达式,并通过Monte-Carlo仿真验证理论推导的正确性。仿真结果表明,在瑞利平衰落信道环境中,次用户采用天线选择方案能有效降低次用户的中断概率,避免次用户频繁切换信道。 To improve the performance of multi-input single-output cognitive radio ( MISO-CR ) networks with spectrum sharing model , we propose three transmit antenna selection schemes of minimum interference selection , maximum data power and maximum the received SINR . The cognitive user has to consider not only the interference caused by primary user , as long as the interference temperature constraint at primary user , but the transmit peak power can be limited . In this paper , close-form expressions of the outage are derived under the downlink flat-fading Rayleigh channel conditions .
作者 李静
出处 《微型机与应用》 2014年第16期47-50,共4页 Microcomputer & Its Applications
关键词 认知无线电 天线选择 干扰功率约束 峰值功率约束 中断概率 cognitive radio antenna selection interference temperature peak power control outage performance
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参考文献5

  • 1于臣军,陈启兴.一种基于软件无线电的应急通信系统[J].微型机与应用,2014,33(2):52-54. 被引量:1
  • 2Zhou Jun ,THOMPSON J.Singal-antenna selection for MISO cognitive cadio[C].2008 IET Seminar on Cognitive Radio and Software Defined Radios:Technologies and Techniques, 2008 : 1- 5.
  • 3KONG H Y,ASADUZZAMAN.On the outage behavior of interference temperature limited CR-MISO channel[J]. Journal of Communication and Network, 2011 , 13(5) : 456- 462.
  • 4吴迎笑,朱琦.多用户认知MIMO系统的中断概率分析[J].通信学报,2009,30(10):81-88. 被引量:3
  • 5GRADSHTEYN I S, RYZHIK I M ,JEFFREY A, et al.Table of integrals,series and products(7^th ed)[M].Amsterdam; Boston : Elsevier, 2007.

二级参考文献23

  • 1张麟兮,赵军仓,樊红社,李萍.软件无线电中调制识别和数字解调技术[J].计算机测量与控制,2006,14(9):1241-1243. 被引量:8
  • 2FTTZEK H P, KATZ M D. Cognitive Wireless Networks: Concepts, Methodologies and Visions Inspiring the Age of Enlightenment of Wireless Communications[M]. Springer, 1st edition, 2007.
  • 3MITOLA J, et al. Cognitive radios: making software radios more personal[J]. IEEE Personal Communications, 1999, 6(4): 13-18.
  • 4MITOLA J. Cognitive Radio: an Integrated Agent Architecture for Software Defined Radio[D]. Royal Inst Technol (KTH), Stockholm, Sweden, 2000.
  • 5HAYKIN S, MOHER M. Modern Wireless Communications[M]. New York: Prentice-Hall, 2004.
  • 6TELATAR E. Capacity of multi-antenna Gaussian channels[J]. European Trans Telecommunications, 1999, 10:585-595.
  • 7HAYKIN S. Cognitive radio: brain-empowered wireless communications[J]. IEEE J Sel Area in Comm, 2005, 23(2):201-220.
  • 8HAMDI K, ZHANG W, LETAIEF K B. Joint beam-forming and scheduling in cognitive radio networks[A]. IEEE Global Communications Conference (GLOBECOM 2007)[C]. Washington DC, USA, 2007.26-30.
  • 9YANG Q H, XU S Y. Outage performance of cognitive radio with multiple receive antennas[J]. IEICE Transactions on Communications, 2008, E91-B(1): 85-94.
  • 10HUANG H, ZHANG Z Y. Throughput analysis of cognitive MIMO system[A]. IWCLD[C]. Jinan, China, 2007.45-49.

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