%0 Journal Article
%A LIU Jian-fei
%A LU Jia
%A TAO Ying
%A WANG Meng-jun
%A ZENG Xiang-ye
%T Enhanced User Selection Algorithm for Massive MIMO with Quantized Precoding
%D 2017
%R 10.13190/j.jbupt.2017.04.004
%J Journal of Beijing University of Posts and Telecommunications
%P 23-28
%V 40
%N 4
%X In multi-user massive (MIMO) wireless system, where the base station equipped with a large number of antennas simultaneously serves multiple users, user selection algorithms have become a rising concern. Two user selection algorithms, in which both channel quality and multi-user interference are taken in account, were proposed. The one is implemented by combining 1-bit feedback and minimizing the preceding vector correlation, it can effectively reduce the computation complexity; In the other algorithm, the list of users is got from potential users by comparing the preceding vector correlation with a threshold, then a set of users with the largest sum of the channel gain were selected, so the sum capacity is further improved. The performance and complexity of algorithms are analyzed.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017.04.004