This paper investigates the effect of correlation based subarray grouping in low computational massive multiple input multiple output (MIMO) multiuser downlink communication system. In previously proposed low computational MIMO design method based on block diagonalization, the performance degradation becomes large because of the subarray processing in both of transmitter and receiver sides. Particularly, in case of correlated channel, the conventional subarray method has poor characteristics, which cannot be used for the actual communication. In this work, through computer simulations, it is shown that the performance of transmit-receive subarray design can be significantly recovered to the level of practical use considering correlation based grouping.
['Tetsuki Taniguchi', 'Yoshio Karasawa']
Performance Improvement by Correlation Grouping in Subarray Based Massive MIMO Design