吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1098-1103.doi: 10.7964/jdxbgxb201304040

• 论文 • 上一篇    下一篇

基于目标对象的最佳中继协作频谱感知方案

李美玲1,2, 袁超伟2, 赵伟2, 韩曦2   

  1. 1. 太原科技大学 电子信息工程学院,太原 030024;
    2. 北京邮电大学 信息与通信工程学院,北京 100876
  • 收稿日期:2012-04-02 出版日期:2013-07-01 发布日期:2013-07-01
  • 作者简介:李美玲(1982-),女,博士研究生,讲师.研究方向:未来移动通信关键技术.E-mail:meiling_li@126.com
  • 基金资助:

    国家自然科学基金项目(60872149,60672132,61272262,61073142,41140026);山西省自然科学基金项目(2011011014-1);太原科技大学博士科研项目(20122032).

Target based cooperative spectrum sensing scheme with best relay

LI Mei-ling1,2, YUAN Chao-wei2, ZHAO Wei2, HAN Xi2   

  1. 1. School of Electronics and Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China;
    2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2012-04-02 Online:2013-07-01 Published:2013-07-01

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摘要：

提出了一种基于目标对象的最佳中继协作频谱感知方案(Pe-BRCS),通过最小化报告信道上的错误传输概率为目标选择最佳中继,以提高感知性能;为了降低计算复杂度,进一步提出了简化的最佳中继,协作频谱感知方案(simplified_BRCS)。仿真结果表明:相比传统SINR-BRCS方案,Pe_BRCS方案有效降低了报告信道上的错误传输概率,可以在增加较少计算复杂度的条件下提高感知性能;simplified_BRCS方案可以在不增加复杂度的情况下很好地近似Pe_BRCS方案。

关键词: 通信技术, 认知无线电, 协作频谱感知, 中继协作, 报告错误概率

Abstract:

Target based Cooperative Spectrum Sensing (CSS) scheme with best relay (Pe-BRCS) was proposed. In this scheme the best relay was selected by minimizing the reporting error probability to improve the sensing performance. Furthermore, to reduce the computational complexity, a simplified CSS scheme with best relay (simplified-BRCS) was proposed. Results of numerical simulation show that, comparing with traditional SINR-BRCS, the reduced reporting error probability can be achieved effectively by the proposed Pe-BRCS with little computational complexity. The performance obtained by the simplified-BRCS scheme is similar to that of Pe-BRCS but without increase in computational complexity.

Key words: communication, cognitive radio, cooperative spectrum sensing, relay cooperation, reporting error probability

中图分类号: 

  • TN911

[1] Akyildiz I, Lee W, Vuran M, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey[J]. Computer Networks Journal, 2006, 50(13):2127-2159.

[2] Amir G, Elvino S S. Opportunistic spectrum access in fading channels through collaborative sensing[J]. Journal of Communications, 2007, 2(2): 71-82.

[3] Letaief K B, Zhang W. Cooperative communications for cognitive radio networks[J]. Proceedings of the IEEE, 2009, 97(5): 878-893.

[4] 李美玲,袁超伟,李琳,等. 使次系统容量最大化的协作频谱感知性能分析及优化[J]. 通信学报, 2011, 32(2): 53-60. Li Mei-ling, Yuan Chao-wei, Li Lin, et al. Performance analysis and optimization of cooperative spectrum sensing for maximizing secondary throughput[J]. Journal on Communications, 2011, 32(2): 53-60.

[5] Li M L, Yuan C W, Li L, et al. Analysis of secondary throughput and optimization in cooperative spectrum sensing[J]. Journal of China Universities of Posts and Telecommunications, 2011, 18 (4): 39-44.

[6] Ganesan G, Li Y. Cooperative spectrum sensing in cognitive radio, part I: two user networks[J]. IEEE Transactions on Wireless Communications, 2007, 6(6): 2204-2212.

[7] Zhang Q, Jia J C, Zhang J. Cooperative relay to improve diversity in cognitive radio networks[J]. IEEE Communications Magazine, 2009, 47(2): 111-117.

[8] Zou Y L, Yao Y D, Zheng B Y. Outage probability analysis of cognitive transmissions: the impact of spectrum sensing overhead[J]. IEEE Transactions on Wireless Communications, 2010, 9(8): 2676-2688.

[9] Zou Y L, Yao Y D, Zheng B Y. Cognitive transmissions with multiple relays in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2011, 10(2): 648-659.

[10] Zou Y L, Yao Y D, Zheng B Y. A cooperative sensing based cognitive relay transmission scheme without a dedicated sensing relay channel in cognitive radio networks[J]. IEEE Transactions on Signal Processing, 2011, 59(2): 854-858.

[11] Beres E, Adve R S. Selection cooperation in multi-source co-operative networks[J]. IEEE Transactions on Wireless Communications, 2008,7(1): 118-127.

[12] Al-Hussaini E, Al-Bassiouni A. Performance of MRC diversity systems for the detection of signals in Nakagami fading[J]. IEEE Transactions on Communications,1985, 33(12):1315-1319.

[13] Zhao Y, Adve R, Lim T J. Outage probability at arbitrary SNR with cooperative diversity[J]. IEEE Communications Letters, 2005, 9(8):700-702.
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