带分数功率控制的蜂窝大规模MIMO上行性能:渐近分析

Ismail Hburi, H. Al-Raweshidy
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引用次数: 2

摘要

本文研究了基于最大比组合(MRC)的大规模MIMO网络中上行信干扰比(SIR)和吞吐量的空间平均分析。该分析考虑了分数功率控制(FPC)和由于信道状态信息(CSI)估计误差引起的其他单元干扰(ICI)的影响。基于渐近方法,给出了泊松拓扑模型中sir分布和特定性能指标(覆盖概率和平均率)的可处理表达式。此外,所考虑的方法适用于随机和确定性网络拓扑。分析了FPC、路径损耗指数和基站密度等关键网络特性的影响。数值结果验证了该模型的有效性,并表明根据系统参数调整FPC补偿分数在0.2 ~ 0.5之间,可以最大限度地提高低50百分位的覆盖概率。此外,对于SIR阈值为0 dB时,分配上行发射功率为0.25的FPC,与恒定功率策略相比,可使蜂窝边缘区域的覆盖概率提高约6%,与全信道反转策略相比,可提高约14%。所提供的近似结果可以取代大规模MIMO系统设计中冗长的蒙特卡罗模拟的需要,并量化在低和中等FPC值下改进的小区边缘SIR之间的权衡。
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Uplink performance of cellular massive MIMO with fractional power control: Asymptotic analysis
This paper addresses the spatial-average analysis of uplink signal to interference ratio (SIR) and throughput in massive MIMO networks with maximum ratio combining (MRC). The analysis incorporates the effects of fractional power control (FPC) and other cells interference (ICI) due to estimation error in channel state information (CSI). Based on an asymptotic approach, tractable expressions are presented for SIR-distributions and specific performance metrics (coverage probability and average rate) in poisson topology model. Moreover, the considered approach is applicable both to random and deterministic network topologies. The impacts of key network-features such as FPC, path-loss exponent and base station (BS) density are characterized. Numerical results validate the model and show that the coverage probability in lower 50th percentile can be maximized by adjusting FPC compensation-fraction between 0.2 and 0.5 depending on the system parameters. Also, for SIR threshold of 0 dB, allocating FPC of 0.25 for uplink transmit power can achieve approximately 6% improvement in coverage probability in cell edge area compared to constant-power policy and about 14% improvement compared to full channel-inversion policy. The provided approximation results can replace the need for lengthy-Monte-Carlo simulations in designing of large scale MIMO systems and quantify the trade-off between improved cell-edge SIR for low and moderate values of FPC.
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