A Game-Theoretical and Spatial Approach to Mitigate Pilot Contamination in Crowded Massive MIMO Systems

被引:0
|
作者
Afshari, Homayoun [1 ]
Zeinalpour-Yazdi, Zolfa [2 ]
机构
[1] Politecn Torino, Dept Control & Comp Engn, I-10129 Turin, Italy
[2] Yazd Univ, Elect Engn Dept, Yazd 8915818411, Iran
关键词
Massive MIMO; pilot contamination; random access; game theory; channel estimation; beamforming; RANDOM-ACCESS PROTOCOL; REDUCTION;
D O I
10.1109/TWC.2023.3297903
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a novel approach to mitigate pilot contamination by enabling effective beamforming in crowded massive Multiple-Input-Multiple-Output (MIMO) systems operating in Time Division Duplex (TDD) mode. The main idea is to resolve angular overlaps among the signals that base stations receive from users in the wireless network. In this method, users randomly become active and try to access their corresponding base stations. Then, they periodically participate in a carefully designed game wherein only winners get to remain active. In this game, the probability of winning among a group of contenders is a direct function of having relatively higher transmission power, better channel conditions, and more correlated directions of arrival to the angles that the base stations estimate. We analytically prove that this game can guarantee the resolution of the so-called angular overlap, which enables effective beamforming and leads to pilot decontamination. We also support our statements through Monte Carlo simulations.
引用
收藏
页码:2357 / 2368
页数:12
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