Distributed Channel Estimation Algorithm for mmWave Massive MIMO Communication Systems

Channel estimation in millimeter-wave (mmWave) massive MIMO systems is challenging, owing to the large number of antennas and the sparsity of mmWave channels. In this paper, we apply a distributed computing technique and design a channel estimation algorithm inspired by accelerated projection-based consensus (APC). The algorithm can thus run in parallel fashion. Simulation results show that the distributed algorithm has high reliability and high convergence rate under different noise levels.