Low Complexity Iterative Parallel Interference Cancellation Algorithms for Massive MIMO System

Low complexity iterative parallel interference cancellation (IPIC) algorithms under hard decision and soft output schemes are proposed for uplink multi-user massive MIMO systems in this paper. By means of circumventing the matrix inversion operations demanded by the conventional MMSE criterion based detection algorithm, the proposed IPIC algorithms reduce the complexity by an order of magnitude. Meanwhile, noise-prediction aided IPIC (NP-IPIC) algorithm is proposed to further improve the detection performance. Considering the residual inter-antenna interference, we propose a low-complexity soft output based IPIC (S-IPIC) detection algorithm as well. Analysis and simulations show that the complexity of the proposed signal detection algorithms is much lower, compared with the MMSE detection algorithm. With only a small number of detection iterations, the proposed algorithms achieve their performance quite close to or even surpassing that of the MMSE algorithm.