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Pilot Assignment Based on Weighted-Count for Cell-Free Massive MIMO Systems

机译:基于加权计数的飞行员分配,用于无细胞大规模MIMO系统

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Cell-Free massive multiple-input multiple-output (MIMO), which is expected to become one of the core technologies of the B5G and 6G, has attracted more and more researchers' attention. This paper considers a Cell-Free Massive MIMO system with multiple antennas at access points (AP) and a single antenna at users. At the same time, this system applies AP selection technology. To reduce pilot contamination, this paper proposes a new pilot assignment algorithm based on weighted counting, which uses the user's prior geographic information to maximize the pilot reuse weighted distance, and also considers pilot power control in the pilot training phase and AP power control in the downlink phase to verify system performance. Simulation results show that the algorithm can significantly improve system performance.
机译:无细胞大规模多输入多输出(MIMO),预计将成为B5G和6G的核心技术之一,吸引了越来越多的研究人员的注意。 本文考虑了一种无细胞的大规模MIMO系统,在接入点(AP)和用户处的单个天线处具有多个天线。 与此同时,该系统适用于AP选择技术。 为了减少导频污染,提出了一种基于加权计数的新试验分配算法,它使用用户的先前地理信息来最大化导频重用加权距离,并且还认为在导频训练阶段和AP电源控制中的试点电源控制 下行链路阶段以验证系统性能。 仿真结果表明,该算法可以显着提高系统性能。

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