标题：Genetic Algorithm based Pilot Allocation Scheme for Massive MIMO System
作者：Zhang, N.; Bai, Z. Q.; Zhang, B.; Su, Y. Y.; Han, T.; Kwak, K. S.
作者机构：[Zhang, N.; Bai, Z. Q.; Zhang, B.; Su, Y. Y.] Shandong Univ, Sch Informat Sci & Engn, Jinan, Peoples R China.; [Han, T.] Huazhong Univ Sci & Technol 更多
会议名称：IEEE International Conference on Communication Systems (ICCS)
会议日期：DEC 14-16, 2016
来源：2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS)
关键词：massive multiple-input multiple-output (MIMO); pilot allocation; genetic; algorithm; global search
摘要：In this paper, a pilot allocation (PA) scheme based on genetic algorithm (GeA) has been proposed to cope with the pilot contamination problem and increase the system transmission rate in massive multiple-input multiple-output (MIMO) system. For this scheme, the maximum system sum rate is used as the objective function to assign the pilot sequences based on the global search method. The GeA based PA scheme is able to acquire better performance compared with the other schemes based on the local search method, like the greedy algorithm (GA). Simulation results and performance analysis show the efficiency of the proposed scheme. Meanwhile, it reduces the computational complexity and achieves acceptable performance compared with the exhaustive method which obtains the optimal solution.