标题：Artificial Fish Swarm Algorithm Based Pilot Allocation in Massive MIMO System
作者：Zhang, B.; Bai, Z. Q.; Li, J. H.; Su, Y. Y.; Sun, S. Q.; Han, T.; Kwak, K. S.
作者机构：[Zhang, B.; Bai, Z. Q.; Li, J. H.; Su, Y. Y.] Sch Informat Sci & Engn, Jinan, Peoples R China.; [Sun, S. Q.] Shandong Univ, Sch Phys, Jinan, Shandon 更多
会议名称：16th International Symposium on Communications and Information Technologies (ISCIT)
会议日期：SEP 26-28, 2016
来源：2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT)
关键词：massive MIMO; pilot allocation; artificial fish swarm algorithm; user; rate
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.