论文标题
LOS/ NLOS通道中无细胞大量MIMO系统的性能分析
Performance Analysis of Cell Free Massive MIMO systems in LoS/ NLoS Channels
论文作者
论文摘要
在蜂窝通信系统中，通常假设用户及其相关访问点（APS）之间没有视线（LOS）路径。然而，在最新的无细胞（CF）大规模MIMO系统方向发展的背景下，这一假设变得值得怀疑。在CF大量MIMO中，假定AP密度与用户密度相当，这增加了用户及其相关AP之间LOS路径存在的可能性。在本文中，我们通过概率LOS通道模型分析了上行链路CF大规模MIMO系统的性能。在这里，我们首先得出了该渠道模型的有效统计数据，并认为它们的行为与常规丰富的散射渠道根本不同。利用这些统计数据，我们接下来比较了CF大量MIMO系统在中央处理单元的河流和关节解码下可实现的速率。在此之后，我们还讨论了基于MMSE的集中式数据检测，以获得复杂性/性能权衡。最后，使用详细的蒙特卡洛模拟，我们验证我们的分析结果，并评估三种数据检测方案的性能。
In cellular communication systems, it is conventional to assume the absence of a line of sight (LoS) path between the users and their associated access points (APs). This assumption however becomes questionable in the context of recent developments in the direction of cell free (CF) massive MIMO systems. In the CF massive MIMO, the AP density is assumed to be comparable with the user density, which increases probability of existence of an LoS path between the users and their associated APs. In this paper, we analyze the performance of an uplink CF massive MIMO system, with a probabilistic LoS channel model. Here, we first derive the effective statistics of this channel model, and argue that their behaviour is fundamentally different from that of the conventional rich scattering channels. Utilizing these statistics, we next compare the rates achievable by CF massive MIMO systems, under both stream-wise and joint decoding at the central processing unit. Following this, we also discuss the centralized MMSE based data detection to obtain a complexity/ performance trade-off. Finally, using detailed Monte-Carlo simulations, we validate our analytical results, and evaluate the performance of the three data detection schemes.
