A Distributed Detection Algorithm For Uplink Massive MIMO Systems

Massive multiple-input multiple-output (MIMO) uplink detection algorithms usually rely on centralized base station (BS) architecture, which results in excessive amount of raw baseband data to be transmitted to central processing unit (CU) when the number of antennas is large. Considering the channel hardening characteristics occurs in massive MIMO channels, this paper develops a novel distributed algorithm based on a daisy chain architecture, where the BS antennas are divided into clusters and each owns independent computing hardware for signal processing. In distributed signal detection, only local channel state information (CSI), received data and some data exchange between clusters are needed on each cluster. It is demonstrated that the algorithm can achieve the tradeoff between complexity and performance better than other existing distributed methods.