A New Non-stationary Channel Model Based on Drifted Brownian Random Paths

A Novel Simulator of Nonstationary Random MIMO Channels in Rayleigh Fading Scenarios

“…Based on the modeling methodologies adopted, channel models can be classified into geometrically based stochastic models (GBSMs) and correlation-based stochastic models (CBSMs) [7]. The nonstationary MIMO channels based on GBSMs have been investigated in [8][9][10]. Xiao et al [8] were concerned with the time-variant parameters such as anglesof-arrival (AoA) and angles-of-departure (AoD) irrespective of the scattering environment or clusters, while Wu et al [9] focused on modeling the appearance and disappearance of clusters by Markov process or birth-death process.…”

“…Xiao et al [8] were concerned with the time-variant parameters such as anglesof-arrival (AoA) and angles-of-departure (AoD) irrespective of the scattering environment or clusters, while Wu et al [9] focused on modeling the appearance and disappearance of clusters by Markov process or birth-death process. Moreover, Borhani and Pätzold [10] introduced a spatial Brownian path model to generate realistic moving trajectories of transceivers and employed it to model the time-variant channel by deriving the analytical expressions of AoA and angles-ofmotion (AOM). Researches have showed that GBSMs are suitable for modeling nonstationary MIMO channels; however, the complexity increases significantly when the number of clusters increases dramatically.…”