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解码转发中继MIMO系统天线选择的能效分析

Energy-Efficiency Analysis of IDF MIMO System with Relay Antenna Selection
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摘要 研究的是一个多输入输出(MIMO)中继协作系统,采用自动请求重传(ARQ)协议,中继在收到接收端的否定应答时转发信息。这里关注中继节点的天线选择的问题,考虑了电路功耗,采用了一种新的能效分析方法,并得到系统中断概率和能效的闭式表达式。接着分析了中继天线选择策略和接收节点的相对距离对系统能效的影响。仿真结果表明,在接收节点距离发送节点或中继节点较远的情况下,接收端天线选择策略(SSC)具有明显优势。实际应用中可以在中继预设阈值,以此切换天线选择策略,此结论对于这种方法具有实际的参考价值。 A cooperative incremental decode-and-forward (IDF) MIMO relay system is studied, and with the application of ARQ ( Automatic Repeat Request) protocol, the relay forwards the received signal when receiving NACK (Negative Acknowledgement) from the destination. This paper focuses the attention on the antenna selection of relay node and circuit power. And with a novel energy efficiency analytical framework, the closed-form expressions of outage probability and energy efficiency are derived and then the selection strategies of relay antenna and the effects of relative distance of between the receiving nodes on system energy efficiency also analyzed. Simulation results show that SSC enjoys clear superiority when the destination is relatively far from the source or relay. The pre-setting of calculation thresholds may be done in practical application, thus to switch the antenna selection strategy, and this conclusion is of certain reference value for division of relay AS schemes.
出处 《通信技术》 2016年第3期259-263,共5页 Communications Technology
关键词 能效 协作通信 MIMO中继 天线选择 energy efficiency cooperative communications MIMO relay antenna selection
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  • 1DAI H. Distributed Versus Co-l-cated MIMO Systems with Corrected Fading and Shadowing [ C ]. Proc. IEEE Int. Conf. Acoustics Speech Signal Proc.. (ICASSP).2006,4.
  • 2WANG D, YOU X, WANG j, et al. Spectral Efficiency of Distributed MIMO Cellular Systems in a Composite Fa- ding Channel [C]. Proc. IEEE Int. Conf. Commun.. (ICC). 2008, 4: 1259-1264.
  • 3Gopal V, Matthaiou M, ZHONG C. Performance Analy- sis of Distributed MIMO Systems in Rayleigh/inverse- gaussian Fading Channels [ C ]. Proc. IEEE Intern. Global Comm. Conf. (GLOBECOM) , Anaheim, 2012, 2468 -2474.
  • 4Gore D, Heath J, Paulraj A. Transmit Selection in Spatial Multiplexing Systems [ J]. IEEE Commun. Lett. 2002, 6: 491-493.
  • 5Gesbert D, Shaft M, Shiu D, et al. From Theory to Prac- tice: An Overview of MIMO Space-time Coded Wireless Systems [C]. IEEE J. Select. Areas Commun.. 2003, 43:281-302.
  • 6Matthaiou M, ZHONG C, Mckay M, ct al. Sum Rate A- nalysis of ZF Receivers in Distributed MIMO Systems [ J ]. IEEE J. Select. Areas Commtm.. 2013,31:180-191.
  • 7DOW M. Explicit Inverses of Toeplitz and Associated Ma- trices [J]. ANZIAM J. , 2003,44:E185-E215.
  • 8XU Guozhen,LIU An,JIANG Wei,XIANG Haige,LUO Wu.Joint User Scheduling and Antenna Selection in Distributed Massive MIMO Systems with Limited Backhaul Capacity[J].China Communications,2014,11(5):17-30. 被引量:9
  • 9高向川,刘晓叶,高小梅.三小区多用户MIMO系统中干扰对齐优化算法[J].通信技术,2014,47(9):989-993. 被引量:3

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