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基于MIMO-OFDM协作系统的中继混合选择合并算法 被引量：6

Research on Hybrid Selection Combine Algorithm of Relays Based on MIMO-OFDM Cooperative System
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摘要 提出了一种基于MIMO-OFDM协作系统的多中继混合选择合并算法。算法原理主要是采用地理位置信息得到一个性能最优的AF(放大转发中继)中继节点,根据瞬时信噪比门限值或相对最小BER门限值选择符合要求的多个DF(译码转发中继)中继,所选择出来的最优AF中继和多个DF中继将协作MIMO-OFDM系统完成信号的转发,最后在目的节点处对直传链路信号和中继链路信号进行最大比合并(MRC)。对该算法进行了理论分析,并研究了该算法对系统误比特率性能的影响,并在MATLAB上进行链路级仿真分析比较。仿真结果表明所提出的多中继混合选择合并算法能有效提高空间分集增益,从而降低系统误比特率。 In this paper,we propose a novel relay selection scheme based on MIMO-OFDM cooperative system,called Hybrid Selection Combine algorithm of relays（HSC）.The principle of HSC algorithm is to make use of geographic information to find out the best AF（Amplify-and-Forward Relays） relay,and selects multiple DF（Decode-and-Forward Relays） relays by threshold of instantaneous SNR or error-probability-minimizing.Then,destination node combines signals of the best relays selected forwarding from source node and the direct signals with a maximum ratio combiner（MRC）.This paper will analyze theory of the HSC algorithm,and study the effects of it to the BER of MIMO-OFDM system.According to the simulation in MATLAB,the results show that the relays selected by HSC algorithm can improve spatial diversity gain,and decrease the BER of MIMO-OFDM cooperative system.
作者 刘刚
机构地区 西南交通大学信息科学与技术学院
出处 《西南科技大学学报》 CAS 2012年第3期78-83,共6页 Journal of Southwest University of Science and Technology
关键词 多中继混合选择合并算法 放大转发中继(AF) 译码转发中继(DF) MIMO-OFDM 空间分集增益 误比特率 Hybrid Selection Combine algorithm of relays（HSC） Amplify-and-Forward Relays（AF） Decode-and-Forward Relays（DF） MIMO-OFDM spatial diversity gain BER
分类号 TN919.3 [电子电信—通信与信息系统]
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参考文献12

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同被引文献38

  • 1张学,陆桑璐,陈贵海,陈道蓄,谢立.无线传感器网络的拓扑控制[J].软件学报,2007,18(4):943-954. 被引量：100
  • 2Su H T,Liu H W,Shui P L.A daptive Beamforming for Nonstationary HF Interference Cancellation in Skywave Over the-Horizon Radar[J].IEEE Transactions on Aerospace and Electronic Systems,2013,49(1):312-324.
  • 3PISCHELLA M, Le RUYET D. Optimal power allocation for the two- way relay channel with data rate fairness [ J]. IEEE Communica- tions Letters, 2011,35(9): 959-961.
  • 4LEOW C Y, DING Z, LEUNG K K. Joint beamforming and power management for nonregenerative MIMO two-way relaying channels [ J ]. IEEE Trans on Vehicular Technology, 2011, 60 ( 9 ) : 43?4-4383.
  • 5WAN Hal-bin, CHEN Wen, WANG Xiao-li. Joint source and relay design for MIMO relaying broadcast channels [ J]. IEEE Communi- cations Letters, 2013, 17(2) : 345-348.
  • 6RONG Yue. Joint source and relay optimization for two-way linear non-regenerative MIMO relay communications [ J]. IEEE Yrans on Signal Processing, 2012, 60( 12): 6533-6546.
  • 7JEONG C, KIM H M, SONG H K, et al. Relay precoding for non-re- generative MIMO relay systems with partial CSI in the presence of in- terferers [J]. IEEE Trans on Wireless Communications, 2012, 11 (4) : 1521-1531.
  • 8EDDY C, VINCENT K N. Cellular muhiuser two-way MIMO AF rela- ying via signal space alignment: minimum weighted SINR maximiza- tion [ J ]. IEEE Trans on Signal Processing, 2012, 60 (9) : 4864-4873.
  • 9GAO Jie, VOROBYOV S A, HAl Jiang, et al. Sum-rate maximiza- tion with minimum power consumption for MIMO DF two-way relaying part II: network optimization[ J]. IEEE Trans on Signal Proces- sing, 2013,61 (14) : 3578-3591.
  • 10Rong Y.Joint Source and Relay Optimization for Two-WayLinear Non- Regenerative MIMO Relay Communications[J].IEEE Transactions on Signal Processing,2012,60(12):6533-6546.

引证文献6

二级引证文献35

西南科技大学学报
2012年 第3期

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