Artificial Fish Swarm Algorithm Based Pilot Allocation in Massive MIMO System

被引：0
作者：
Zhang, B. [1 ]
Bai, Z. Q. [1 ]
Li, J. H. [1 ]
Su, Y. Y. [1 ]
Sun, S. Q. [2 ]
Han, T. [3 ]
Kwak, K. S. [4 ]
机构：
[1] Sch Informat Sci & Engn, Jinan, Peoples R China
[2] Shandong Univ, Sch Phys, Jinan, Shandong, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan, Peoples R China
[4] Inha Univ, Grad Sch Informat Technol & Telecommun, Incheon, South Korea
来源：
2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2016年
基金：
美国国家科学基金会; 新加坡国家研究基金会; 对外科技合作项目（国际科技项目）;
关键词：
massive MIMO; pilot allocation; artificial fish swarm algorithm; user rate;
D O I：
暂无
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：
In order to solve the pilot pollution problem and realize the low complexity pilot allocation in 5G massive multiple-input and multiple-output (MIMO) communication system, we propose an artificial fish swarm algorithm based pilot allocation scheme in this paper. The algorithm is an imitation of the natural fish activities. Through the search of the region related to the largest user sum rate, we can find the optimal pilot distribution scheme. The pilot pollution model and muti-cell massive MIMO system model are presented. The artificial fish swarm algorithm is employed to find the optimal solution for the pilot allocation. Numerical results show the efficiency and advantages of the proposed algorithm compared with the conventional algorithm, such as Greedy algorithm and Tabu algorithm.
引用
收藏
页码：82 / 86
页数：5
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