Coverage Performance of MIMO-MRC in Heterogeneous Networks: A Stochastic Geometry Perspective

M. Khoshkholgh, K. Navaie, K. Shin, Victor C. M. Leung
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引用次数: 9

Abstract

We study the coverage performance of multi-antenna (MIMO) communications with maximum ratio combining (MRC) at the receiver in heterogeneous networks (HetNets). Our main interest in on multi-stream communications when BSs do not have access to channel state information. Adopting stochastic geometry we evaluate the network-wise coverage performance of MIMO-MRC assuming maximum signal- to-interference ratio (SIR) cell association rule. Coverage analysis in MIMO-MRC HetNets is challenging due to inter-stream interference and statistical dependencies among streams' SIR values in each communication link. Using the results of stochastic geometry we then investigate this problem and obtain tractable analytical approximations for the coverage performance. We then show that our results are adequately accurate and easily computable. Our analysis sheds light on the impacts of important system parameters on the coverage performance, and provides quantitative insight on the densification in conjunction with high multiplexing gains in MIMO HetNets. We further observe that increasing multiplexing gain in high- power tier can cost a huge coverage reduction unless it is practiced with densification in femto-cell tier.
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MIMO-MRC在异构网络中的覆盖性能:一个随机几何视角
研究了异构网络(HetNets)中接收端最大比组合(MRC)多天线(MIMO)通信的覆盖性能。我们的主要兴趣是当BSs无法访问信道状态信息时的多流通信。采用随机几何方法,假设最大信干扰比(SIR)单元关联规则,评估MIMO-MRC的网络覆盖性能。MIMO-MRC HetNets的覆盖分析具有挑战性,因为在每个通信链路中存在流间干扰和流SIR值之间的统计依赖性。然后,利用随机几何的结果,我们研究了这个问题,并获得了覆盖性能的易于处理的解析近似。然后,我们证明了我们的结果是足够准确和易于计算的。我们的分析揭示了重要系统参数对覆盖性能的影响,并提供了关于MIMO HetNets中高密度化与高复用增益的定量见解。我们进一步观察到,增加高功率层的多路复用增益可能会导致覆盖范围的大幅减少,除非在飞基站层中进行致密化。
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