A Non-Stationary Beam-Enabled Stochastic Channel Model and Characterization over Non-Reciprocal Beam Patterns

The multiple-input multiple-output (MIMO)-enabled beamforming technology offers great data rate and channel quality for next-generation communication. In this paper, we propose a beam channel model and enable it with time-varying simulation capability by adopting the stochastic geometry theory. First, clusters are generated located within transceivers’ beam ranges based on the Matern hardcore Poisson cluster process. The line-of-sight, single-bounce, and double-bounce components are calculated when generating the complex channel impulse response. Furthermore, we elaborate on the expressions of channel links based on the propagation-graph theory. A birth-death process consisting of the effects of beams and cluster velocities is also formulated. Numerical simulation results prove that the proposed model can capture the channel non-stationarity. Besides, the non-reciprocal beam patterns yield severe channel dispersion compared to the reciprocal patterns.