Measurement and empirical modeling of massive MIMO channel matrix in real indoor environment

Abstract

A novel empirical, measurement-based massive MIMO channel matrix model under real indoor environment at 4.1 GHz is proposed. In this model, the channel matrix can be described as the sum of a fixed and a random matrices, furthermore, the random matrix can be decomposed into the product of four parts: the eigenvectors of the transmitting and receiving side correlation matrices, a coupling matrix, whose amplitude and phase are lognormal and uniform distributions, and a complex Gaussian random matrix. By comparing the capacity and singular value spread, the proposed model is validated to be more accurate than the conventional Kronecker and Weichselberger models. The proposed model is promising for the system design and implementation in future 5G systems.