Flexible pilot reuse in massive MIMO with random geometric distribution of users

Lu Lu, Hairong Wang, Youhua Fu
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Abstract

The fundamental limit of massive multiple-input-multiple-output (MIMO) system's performance is pilot contamination due to the reuse of the same set of pilot sequences by users in adjacent cells, which can be alleviated by assign the pilot sequences to the users appropriately, power control and many other ways. In this paper, the network model considers stochastic geometry that users are distributed according to a homogeneous Poisson point process (PPP) to simulate the real user distribution. The signal-to-interference-plus-noise (SINR) of uplink can be analytically derived, and combined with the flexible pilot reuse to simulate the reality of the pilot allocation strategy. The users suffer from severe pilot contamination use orthogonal pilot and the others with light contamination can reuse a same set of pilot sequence, ultimately get the optimal pilot reusing factor and achieve a reasonable pilot allocation.
具有随机用户几何分布的大规模MIMO中的灵活导频复用
大规模多输入多输出(MIMO)系统性能的根本限制是相邻小区中用户重复使用同一组导频序列所造成的导频污染,可通过适当分配导频序列给用户、功率控制等多种方式加以缓解。本文的网络模型考虑了用户按齐次泊松点过程(PPP)分布的随机几何,以模拟真实的用户分布。通过解析导出上行链路的信噪比,并结合导频复用的灵活性来模拟导频分配策略的实际情况。重度导频污染用户采用正交导频,轻度污染用户可重复使用同一组导频序列,最终得到最优导频重复使用系数,实现导频合理分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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