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Cell-Free Massive MIMO Versus Small Cells

机译:无电池大规模mImO与小型电池

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摘要

A Cell-Free Massive MIMO (multiple-input multiple-output) system comprises a very large number of distributed access points (APs), which simultaneously serve a much smaller number of users over the same time/frequency resources based on directly measured channel characteristics. The APs and users have only one antenna each. The APs acquire channel state information through time-division duplex operation and the reception of uplink pilot signals transmitted by the users. The APs perform multiplexing/de-multiplexing through conjugate beamforming on the downlink and matched filtering on the uplink. Closed-form expressions for individual user uplink and downlink throughputs lead to max-min power control algorithms. Max-min power control ensures uniformly good service throughout the area of coverage. A pilot assignment algorithm helps to mitigate the effects of pilot contamination, but power control is far more important in that regard. Cell-Free Massive MIMO has considerably improved performance with respect to a conventional small-cell scheme, whereby each user is served by a dedicated AP, in terms of both 95%-likely per-user throughput and immunity to shadow fading spatial correlation. Under uncorrelated shadow fading conditions, the cell-free scheme provides nearly fivefold improvement in 95%-likely per-user throughput over the small-cell scheme, and tenfold improvement when shadow fading is correlated.
机译:无蜂窝大规模MIMO(多输入多输出)系统包括大量分布式接入点(AP),它们基于直接测量的信道特性在相同的时间/频率资源上同时为数量较少的用户提供服务。 AP和用户各自只有一根天线。 AP通过时分双工操作以及用户发送的上行链路导频信号的接收来获取信道状态信息。 AP通过在下行链路上进行共轭波束成形并在上行链路上进行匹配滤波来执行复用/解复用。用于各个用户上行链路和下行链路吞吐量的闭式表达式导致最大-最小功率控制算法。最大-最小功率控制可确保在整个覆盖范围内提供统一的优质服务。飞行员分配算法有助于减轻飞行员污染的影响,但是功率控制在这方面更为重要。相对于传统的小小区方案,无小区大规模MIMO的性能得到了显着改善,从而每个用户都可以通过专用AP为每个用户提供服务(如95%的每用户吞吐量)和对阴影衰落空间相关性的免疫力。在不相关的阴影衰落条件下,无单元方案在95%的每用户吞吐量方面比小蜂窝方案提高了近五倍,而在阴影衰落相关时则提高了十倍。

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