k -衰落环境下大规模MIMO系统遍历速率分析

M. Mushtaq, Syed Ali Hassan, D. Jayakody
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引用次数: 2

摘要

大规模多输入多输出(Massive MIMO)已被确定为下一代蜂窝系统的关键技术。本文研究了在复合衰落-阴影环境下,具有大型基站天线阵列和单天线用户终端的分时双工(TDD)多蜂窝系统。在上行传输中,导频污染发生在ut向各自的BSs发送导频时,服务的BS使用最小均方误差估计来估计信道状态信息。该信道信息进一步用于设计用于下行链路传输的波束形成(BF)和正则化零强迫(RZF)预编码器。我们使用不同的预编码方案和不同的阴影强度来分析DL传输的遍历率。已经观察到,当我们增加天线数量时,阴影并不平均,而不是多径衰落,阴影的严重程度严重影响了大规模MIMO系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ergodic Rate Analysis of Massive MIMO Systems in K-Fading Environment
Massive MIMO (multiple-input multiple-output) has been identified as a key technology for next generation cellular systems. This paper considers a multi-cellular system with large antenna arrays at the base station (BS) and single antenna user terminals (UTs), operating in a time division duplex (TDD) mode, under a composite fading- shadowing environment. In the uplink transmission, the pilot contamination occurs as the UTs transmit pilots to their respective BSs, and the serving BS estimates the channel state information using a minimum mean squared error estimation. This channel information is further used to design beamforming (BF) and regularized zero-forcing (RZF) precoders for downlink (DL) transmission. We analyze the ergodic rates for DL transmission using different precoding schemes and varying shadowing intensity. It has been observed that shadowing does not average out as we increase the number of antennas as opposed to multi-path fading, and the severity of shadowing badly affects the performance of massive MIMO systems.
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