Performance Analysis of Uplink Massive MIMO System Over Rician Fading Channel

Amare Kassaw, Dereje Hailemariam, A. Zoubir
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引用次数: 4

Abstract

Massive multiple input multiple output (MIMO) is considered as one of the promising technology to significantly improve the spectral efficiency of fifth generation (5G) networks. In this paper, we analyze the performance of uplink massive MIMO systems over a Rician fading channel and imperfect channel state information (CSI) at a base station (BS). Major Rician fading channel parameters including path-loss, shadowing and multipath fading are considered. Minimum mean square error (MMSE) based channel estimation is done at the BS. Assuming a zero-forcing (ZF) detector, a closed-form expression for the uplink achievable rate is derived and expressed as a function of system and propagation parameters. The impact of the system and propagation parameters on the achievable rate are investigated. Numerical results show that, when the Rician K-factor grows, the uplink achievable sum rate improves. Specifically, when both the number of BS antenna and the Rician K-factor become very large, channel estimation becomes more robust and the interference can be average out and thus, uplink sum rate improves sianificantlv,
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基于衰落信道的上行海量MIMO系统性能分析
大规模多输入多输出(MIMO)被认为是显著提高第五代(5G)网络频谱效率的有前途的技术之一。本文分析了在信道状态信息不完全的情况下,基站(BS)下的上行海量MIMO系统的性能。主要信道参数包括路径损失、阴影和多径衰落。基于最小均方误差(MMSE)的信道估计是在BS上完成的。假设存在零强迫(ZF)探测器,推导出上行可达速率的封闭表达式,并将其表示为系统参数和传播参数的函数。研究了系统参数和传输参数对可达速率的影响。数值结果表明,当k因子增大时,上行可达和率提高。具体来说,当BS天线数量和r - k因子都很大时,信道估计变得更加鲁棒,干扰可以被平均出来,上行和速率显著提高。
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