2D autoregressive model-based dynamic correlated massive MU-MIMO channel simulator

摘要

To design a dynamic correlated channel simulator which can precisely depict the space-time correlation properties and be suitable for the massive multi-user multiple-input multiple-output (MU-MIMO) system, a 2D autoregressive (2D AR) model-based method is proposed. Specifically, by exploiting stationarity in space-time domain, the authors use 2D AR method to create the space-time channel matrices of every user separately. In this way, the space-time dimension of the simulated channel can be modified flexibly without rebuilding the 2D AR model, and spatial correlation matrix with excessively big size is not necessary to guarantee the accuracy of the proposed simulator, making it suitable for massive MU-MIMO system. Simulation results verify the advantages of the proposed simulator.