莱斯信道下分布式大规模MIMO系统基站选择算法的研究

doi:10.11999/JEIT150811

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Abstract

The Base Station (BS) selection for distributed massive MIMO system is studied. The channels between the BSs and the users are assumed to be Rician fading. First the closed-form expressions of downlink achievable rates for Matched-Filter (MF) and Zero-Forcing (ZF) precoding are derived respectively, and the power efficiency performance of the system is investigated. Based on the closed-form expressions, the approximate incremental BS selection and the approximate user priority BS selection algorithms are proposed, both of which only require the statistical Channel State Information (CSI), to maximize the system spectral efficiency. Numerical results show that the proposed algorithms perform close to the optimal one. Specifically, it is shown that the approximate user priority BS selection algorithm outperforms the approximate incremental one when the BSs utilize the MF precoding in the large scale antenna limit.

Key words： Massive MIMO Distributed Rician fading channel Base Station (BS) selection Spectral efficiency

Received: 08 July 2015 Published: 03 February 2016

PACS:

TN929.5

Fund:

The National 863 Project of China (2014AA01A706), Beijing Science and Technology Talents Program (2016023), Fundamental Research Funds for the Central Universities (2015JBM011), The National Natural Science Foundation of China (61471027), The Research Fund of National Mobile Communications Research Laboratory, Southeast University (2014D05), Beijing Natural Science Foundation Project (4152043)

Corresponding Authors: TAO Cheng E-mail: chtao@bjtu.edu.cn

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	LI Yongzhi
	TAO Cheng
	LIU Liu
	LU Yanping
	LIU Kai

Cite this article:

LI Yongzhi,TAO Cheng,LIU Liu等. Base Station Selection Algorithm for Distributed Massive MIMO System over Rician Fading Channels[J]. JEIT, 2016, 38(4): 856-862.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150811 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I4/856

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