以用户为中心的无小区大规模MIMO干扰消除和本地ZF下行预编码

S. Buzzi, C. D’Andrea, C. D'Elia
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引用次数: 20

摘要

在以用户为中心(UC)的无蜂窝大规模MIMO体系结构中,在给定区域内部署了大量的分布式接入点(ap),每个接入点服务于接收功率最大的移动站(ms)。这种体系结构已被证明比同址的大规模MIMO体系结构提供了一些优势,特别是在用户之间的公平性方面。本文提出在下行链路上采用局部强制零(PZF)预编码,在上行链路上采用连续干扰抵消(SIC)来提高系统的性能。建议的方案可以在本地实现,即在ap上计算和利用信道估计和波束形成器,而无需与中央处理器交换信息;此外,在MSs中使用的波束形成器是信道无关的,即在ms中不需要信道估计。数值结果表明,所提出的收发器算法相对于竞争方案提供了显着的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User-Centric Cell-Free Massive MIMO with Interference Cancellation and Local ZF Downlink Precoding
In the user-centric (UC) cell-free Massive MIMO architecture, a large number of distributed access points (APs) are deployed in a given area, each one serving the mobile stations (MSs) that are received with the largest power. This architecture has been shown to offer some advantages over a co-located massive MIMO architecture, especially in terms of fairness among users. This paper proposes to improve the performance of such a system by using local partial zero-forcing (PZF) precoding on the downlink and successive interference cancellation (SIC) on the uplink. The proposed schemes can be implemented locally, i.e. the channel estimates and the beamformers at the APs are computed and exploited locally, with no need to exchange information with a central processing unit (CPU); moreover the beamformers used at the MSs are channel independent, i.e. no channel estimate is needed at the MS. The numerical results show that the proposed transceiver algorithms provide remarkable performance improvements with respect to competing alternatives.
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