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作 者:闫涛 张大鹏 刘婷[3] YAN Tao;ZHANG Dapeng;LIU Ting(Aviation Maintenance NCO School,Air Force Engineering University,Xinyang Henan 464000,China;Beijing TGL Electronic Technology Co.,Ltd.,Beijing 100094,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)
机构地区:[1]空军工程大学航空机务士官学校,河南信阳464000 [2]北京通广龙电子科技有限公司,北京100094 [3]中国科学院空天信息研究院,北京100094
出 处:《通信技术》2021年第11期2511-2517,共7页Communications Technology
摘 要:针对大规模多输入多输出(Multiple Input Multiple Output,MIMO)系统在小型移动通信终端应用受限的问题,借助并行中继转发技术构造了虚拟的大规模MIMO系统,研究分析了放大转发(Amplify-and-Forward,AF)、检测转发(Detect-and-Forward,DF)、估计转发(Estimate-and-Forward,EF)和互信息转发(Mutual-Information-based-Forward,MIF)在MIMO并行中继转发系统中的实现方法。通过传输模型等效,推导给出系统的广义信噪比和全局互信息,并据此完成各转发方案的差错性能仿真与分析,最后对各转发方案的计算复杂度进行对比。In this paper,virtual massive multiple-input multiple-output systems are constructed by the parallel relaying and forwarding strategy to solve the problem that massive MIMO is unsuited to be directly used in small mobile terminals.Relaying schemes such as amplify-and-forward(AF),decode-and-forward(DF),estimation-and-forward(EF)and mutual information based forwarding(MIF)are studied for extended application to MIMO parallel relaying and forwarding system,simultaneously algorithms of these schemes are derived.Through an equivalent channel model,generalized signal-to-noise ratio(GSNR)and global mutual information of each forwarding scheme are calculated,and with the calculation results error rate performance are simulated.Complexity of all the forwarding schemes is discussed in the end of paper.
关 键 词:大规模多输入多输出 并行中继转发 放大转发 检测转发 估计转发 互信息转发
分 类 号:TN911.23[电子电信—通信与信息系统]
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