Publications

Low Complexity Interference Rejection Combining Equalizer for Extreme Massive MIMO

Published

IEEE Wireless Communications and Networking Conference (WCNC)

Date

2024.07.03

Research Areas

Abstract

Minimum mean square error interference rejection combining (MMSE-IRC) equalizer is used at the base station (BS) receiver (Rx) in cellular systems to mitigate inter and intra cell interference. However, it has a complexity of the order O(N^3), where N is the number of Rx antennas at the BS. As a result, it will become impractical to implement MMSE-IRC in the context of extreme massive MIMO (extreme-mMIMO) where the number of antennas at the BS may range from 256 to 4096. To this end, this paper proposes a low complexity equalizer called Diagonal-Interference Rejection combining (D-IRC). It uses diagonal loading of the noise and interference covariance matrix. It is shown that the proposed D-IRC equalizer has a computational complexity of order O(N^2) which is significantly less than the conventional MMSE-IRC equalizer with similar bit error rate (BER) performance. Further, the implementation of the proposed D-IRC in the centralized/cloud radio access networks is demonstrated in this paper.