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基于中继的协作频谱感知性能分析及优化 被引量:9

Performance analysis and optimization of cooperative spectrum sensing with relay
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摘要 提出了一种基于目标的中继协作频谱感知方案,证明了SU到SR链路上的信道条件对系统性能有较大的影响;鉴于此,提出了一种优化的最佳中继协作频谱感知(optimized BRCSS)方案,通过联合考虑目标SU到SR链路上的信道条件和SR到FC链路上的信道条件选择最佳认知中继;最后,从更实际的应用场景考虑,为了节约系统开销,进一步提出了一种自适应的最佳中继协作频谱感知方案(A-BRCSS),即SU根据其信道条件,自适应地选择是否需要认知中继的协作传输。分析和仿真结果均表明,相比传统最佳中继协作频谱感知方案,Optimized BRCSS方案可以实现更高的感知性能;所提A-BRCSS方案可以实现几乎最佳的感知性能。 An object based cooperative spectrum sensing scheme with relay was proposed, and the fact that the channel condition from SU to SR has an important influence to system performance was proved. In view of this, an optimized cooperative spectrum sensing scheme with best relay(optimized BRCSS) was proposed, in which the best secondary relay was selected by considering both the channel condition from SU to SR and SR to FC. Finally, an adaptive cooperative spectrum sensing scheme with best relay (A-BRCSS) was proposed further to save the system expense considering more practical application occasion, where, SU could adaptively decide whether the relay's cooperation was needed by its re- porting channel condition. Both analysis and simulation results show that, the better sensing performance can be achieved by the optimized BRCSS scheme compared with the traditional cooperative spectrum sensing scheme with best relay. The nearly best sensing performance can be obtained by the proposed A-BRCSS scheme.
作者 李美玲
出处 《通信学报》 EI CSCD 北大核心 2013年第9期33-40,共8页 Journal on Communications
基金 国家自然科学基金资助项目(61272262 61073142 61210006 41272374) 山西省自然科学基金资助项目(2011011014-1) 太原科技大学博士科研启动基金资助项目(20122032)~~
关键词 认知无线电 协作频谱感知 最佳中继 检测性能 自适应 cognitive radio cooperative spectrum sensing best relay detection performance adaptive
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参考文献27

  • 1FCC, spectrum policy task force, ET Docket no, 02-135 Memorandum opinion and order[EB/OL], http://www.fcc.gor/sptf/reports.html.
  • 2WEISS T, JONDRAL F. Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency[J]. IEEE Commun Mag, 2004, (42):8-14.
  • 3AKYILDIZ I, LEE W, VURAN M, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey[J]. Com- puter Networks Journal(Elsevier), 2006, 50(13):2127-2159.
  • 4CABRIC D, MISHRA S M, BRODERSEN R W. Implementation issues in spectrum sensing for cognitive radios[A]. Proc 38th Asilomar Conf Signals, Syst, Computers[C]. Pacific Grove, United States, 2004. 772-776.
  • 5SIP B, JI H, YU F R, et al. Optimal cooperative internetwork spec- trum sharing for cognitive radio systems with spectrum pooling[J]. IEEE Transactions on Vehicular Technology, 2010, 59(4): 1760-1768.
  • 6AMIR G, ELVINO S S. Opportunistic spectrum access in fading channels through collaborative sensing[J]. Journal on Communications, 2007, 2(2):71-82.
  • 7LING Y C, ZENG Y H, PEH E C Y, et al. Sensing-throughput tradeoff for cognitive radio networks[J]. IEEE Transactions on Wire- less Communications, 2008, 7(4): 1326-1337.
  • 8PEH E C Y, LIANG Y C, GUAN Y L, et al. Optimization of coopera- tive sensing in cognitive radio networks: a sensing-throughput tradcoff view[J]. IEEE Transactions on Vehicular Technology, 2009,58(9): 5294-5299.
  • 9SHEN J Y, JIANG T, LIU S Y, et al. Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2009, 8( 10):5166-5175.
  • 10LETAIEF K B, ZHANG W. Cooperative communications for cogni- tive radio networks[J]. Proceedings of the IEEE, 2009, 97(5):878-893.

二级参考文献19

  • 1FCC. Spectrum policy task force report[EB/OL], http://www.fcc.gov/sptf/reports.html.
  • 2WEISS T, JONDRAL F. Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency[J]. IEEE Commun Mag, 2004 42(3):S8-S14.
  • 3AKYILDIZ I, LEE W, VURAN M, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey[J]. Computer Networks Journal(Elsevier), 2006, 50( 13):2127-2159.
  • 4CABRIC D, MISHRA S M, BRODERSEN R W. Implementation issues in spectrum sensing for cognitive radios [A]. Proc 38th Asilo- mar Conf Signals, Syst, Computers[C]. United States, 2004. 772-776.
  • 5GHASEMI A, SOUSA E S. Collaborative spectrum sensing for op- portunistic access in fading environments[A]. Proc lth IEEE Int Syrup New Front Dynamic Spect Netw DySPAN[C]. Baltimore, MD, Uni~l States, 2005.131 - 136.
  • 6GANESAN G, LI Y. Cooperative spectrum sensing in cognitive radio, part I: two user networks[J]./EEE Transactions on Wireless Communications, 2007, 6(6): 2204-2212.
  • 7GANESAN G, LI Y. Cooperative spectrum sensing in cognitive radio,part II: multiuser networks [J]. IEEE Transactions on Wireless Communications, 2007, 6(6): 2214-2222.
  • 8AM/R (i, ELVINO S S. Opportunistic spectrum access in fading channels through collaborative sensing[J]. Journal of Communications, 2007, 2(2): 71-82.
  • 9LIANG Y C, ZENG Y H, PEH E, et al. Sensing-throughput tradeoff for cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2008, 7(4): 1326-1337.
  • 10SHEN J Y, JIANG T, LIU S Y, et al. Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2009, 8(10): 5166-5175.

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