3D Random Scattering Effects on MIMO Channel Capacity With a Multiple Scattering Model

With the development of 5G/6G communication technology, precise channel analysis considering the spatial characteristics of waves has become important. Traditional methods for analyzing random environments often rely on testing, statistics, and approximation techniques, which are not convenient or accurate enough for high-frequency and near-field communication scenarios. In this paper, we propose a method for evaluating the capacity of MIMO channels by combining an accurate electromagnetic scattering model and analyze the channel effects with Monte Carlo simulations in a random environment. Firstly, 3D multiple scatterers are uniformly randomly generated within a given space. The Foldy-Lax multiple scattering theorem is applied next to calculate the field under single dipole source excitation, and the channel matrix is obtained by sequentially excitations from each transmitter input. The MIMO channel capacity is computed using matrix decomposition and water-filling theorem. The effects of different scatterer distribution areas, including line-of-sight and non-line-of-sight effects, are analyzed, and stable random scattering channel effects are obtained through Monte Carlo simulations in each area. The proposed method utilizes precise electromagnetic analysis to accurately characterize the impact of random scatterer distributions on the channel. This makes it a potential valuable tool for modeling and evaluating channels in next-generation communication systems.