Geometric stochastic method and deterministicraytracingmethod are two common methods of modelling massive multiple-input multiple-output (MIMO) channels. The former has high computational efficiency but a large num...
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Geometric stochastic method and deterministicraytracingmethod are two common methods of modelling massive multiple-input multiple-output (MIMO) channels. The former has high computational efficiency but a large number of input parameters need to be extracted from measurements for different environments. Conversely, the latter is more suitable for a specific environment but consumes a lot of computing costs. In this study, a novel three-dimensional (3D) deterministicraytracingmethod for massive MIMO channel modelling is proposed. The computational efficiency can be improved in two aspects compared with conventional deterministicraytracingmethods. Firstly, substantial intersection tests used in determining the propagation paths of rays are replaced with the adjacency relationships between tetrahedrons. Secondly, the process of raytracing is independent of the location of a receiving antenna and therefore repeated raytracing process is unnecessary for different elements of receiving antenna array. The proposed method is also used as a substitute for measurements to extract input parameters for geometric stochastic channel models. The accuracy of the proposed method in massive MIMO channel modelling and parameters extraction is verified by comparing the results with measurements and other existing channel models.
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