Title: Capacity detection of massive MIMO channel in 5G environment based on symmetric correlation matrix
Authors: Bolu Lei; Liya Li
Addresses: East China University of Technology, Fuzhou, 344000, China ' East China University of Technology, Fuzhou, 344000, China
Abstract: The traditional massive MIMO channel capacity detection method is especially poor in channel equalisation, which leads to large channel capacity detection errors and high bit error rate. This paper proposes a new method for massive MIMO channel capacity detection in 5G environment based on symmetric correlation matrix. Massive MIMO channel model is established and symmetric correlation matrix model is constructed. The massive MIMO channel capacity under 5G environment can be obtained by obtaining the transmission coefficient correlation between the base station and the rooftop based on the symmetric matrix. In order to verify the effectiveness of the research method, a complete simulation experiment was designed. The experimental results show that the method can effectively detect the capacity of massive MIMO channel in 5G mobile communication environment in the case of single cluster and double cluster, and the detection accuracy is higher than 99%.
Keywords: 5G mobile communication; massive MIMO; channel capacity detection; channel transmission matrix; Laplace function; symmetric correlation matrix; complete simulation experiment.
International Journal of Autonomous and Adaptive Communications Systems, 2022 Vol.15 No.1, pp.78 - 92
Received: 20 Feb 2020
Accepted: 01 Jun 2020
Published online: 15 May 2022 *