A Pilot Allocation Method of Jointing Cell Grouping and Alliance Game in Massive MIMO System

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Wang, Feiyue^1 ; Zhi, Hui^1 ; Huang, Ziju^1

Key Lab of Computing Intelligent and Signal Processing (Ministry of Education), Anhui University, Hefei, China^1

关键词: Alliance formation;    Allocation methods;    Cell grouping;    Cellular network;    Pilot contaminations;    Random distribution;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072012/pdf
DOI  :  10.1088/1757-899X/490/7/072012

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In order to improve the uplink channel estimation performance and reduce pilot contamination (PC), this paper proposes a pilot allocation method of jointing cell grouping and alliance game (JCG-AG) for massive multiple-input multiple-output (MIMO) cellular networks. It can be divided into two steps. First, by properly dividing all cells into different cell-groups, the users in different cell-groups are allocated different orthogonal pilot sets. Second, the users in the same cell-group are further divided into several mutually disjoint sub-alliances. Users belonging to different sub-alliances are allocated different pilots, and users belonging to the same sub-alliance reuse the same pilots. During the second step, the alliance formation algorithm is used to suppress PC. The JCG-AG method takes practical application as the starting point, focuses on the random distribution of users, and uses the idea of alliance game. All these make it more flexible and practical. As demonstrated in the simulation results, the JCG-AG method can greatly mitigate the PC and reduce the average mean square error (MSE) for all channel estimations in the uplink.