Low Complex User Selection Strategies for Multi-User MIMO Downlink Scenario

Multi-user MIMO downlink scenario has been paid considerable attentions in recent years for its potential large capacity. However, when there are not enough antennas at the transmitter, making all the users available may not be a good solution. The situation can be improved by selecting the right users among all users at the receiver and meanwhile a maximum capacity can be achieved. In this paper, we use the correlation of channel matrices of users and develop an algorithm to select the right users with low complexity to achieve the total capacity of the whole system. Moreover, we design a strategy to adaptively select receive antennas of users at the receiver which can further increase the capacity of the MIMO system.