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引用次数: 0
摘要
JSDM (Joint Spatial Division and Multiplexing)是近年来提出的一种用于FDD系统实现大规模MIMO的方案。该方案分为两步:根据每组的协方差将MS划分为组;利用两级波束形成:一个预编码器通过空间相关性减轻组间干扰，一个多用户预编码器抵消组内干扰。双极化大规模MIMO旨在避开5G大规模MIMO的空间限制。与以往的研究不同，本文主要研究了大规模mimo JSDM方案的自适应MS聚类算法，以优化系统性能。仿真结果表明，该系统优于原有的JSDM FDD系统。
Massive MIMO Based on Compressed Sensing Adaptive Clustering Algorithm
Joint Spatial Division and Multiplexing (JSDM) is a recently proposed scheme to realize massive MIMO for FDD systems. This scheme is carried out using two steps: partitioning MS into groups in terms of covariances of each group; harnessing a two-stage beamforming: a precoder to mitigate inter-group interference by spatial correlation and a mutli-user precoder to counterbalance intra-group interference. Dual polarized massive MIMO aims to stave off the spatial constraint of 5G massive mimo. Diverging from pervious contributions which equally distribute MS into groups, this paper focuses mainly on an adaptive MS clustering algorithm for massive mimo JSDM scheme to optimize system performance. Simulation results show that the system outdoes the former JSDM FDD system.
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