Capacity detection of massive MIMO channel in 5G environment based on symmetric correlation matrix. (15th May 2022)

• Record Type: Journal Article
• Authors: Lei, Bolu; Li, Liya
• Is Part Of: International journal of autonomous and adaptive communications systems. Volume 15:Number 1(2022)
• Page Start: 78
• Page End: 92
• Publication Date: 2022-05-15
• Subjects: 5G mobile communication -- massive MIMO -- channel capacity detection -- channel transmission matrix -- Laplace function -- symmetric correlation matrix -- complete simulation experiment; Adaptive computing systems -- Periodicals; Wireless communication systems -- Periodicals; Computer networks -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-8632

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%.