In this work, we propose iterative access point (AP) selection (APS), linear minimum mean-square error (MMSE) precoding and power allocation techniques for Cell-Free Massive multiple-input multiple-output (MIMO) systems. We consider the downlink channel with single-antenna users and multiple-antenna APs. We derive sum-rate expressions for the proposed iterative APS techniques followed by MMSE precoding and optimal, adaptive, and uniform power allocation schemes. Simulations show that the proposed approach outperforms existing conjugate beamforming (CB) and zero-forcing (ZF) schemes and that performance remains excellent with APS, in the presence of perfect and imperfect channel state information (CSI).
翻译:在这项工作中,我们提议为无细胞多投入多产出(MIMO)系统提供迭代接入点选择、线性最低平均差值预编码和动力分配技术。我们考虑与单亚硝基苯和多亚硝基苯并购的下行通道。我们为拟议的迭代接入点选择、线性最低平均差值(MMSE)预编码和最佳、适应性和统一的电源分配计划得出总比率表达法。模拟表明,拟议方法超过了现有的无细胞多投入多产出(MIMO)组合和零推进(ZF)计划,在有完美和不完善的频道国家信息的情况下,与APS保持良好的性能。