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. Firs...

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Bibliographic Details
Published in:China communications 2024-10, Vol.21 (10), p.1-16
Main Authors: Jiachi, Zhang, Liu, Liu, Zhenhui, Tan, Kai, Wang, Lu, Li, Tao, Zhou
Format: Article
Language:English
Subjects:
Array signal processing
beam channel model
Channel models
channel non-stationarity
Delays
Geometry
non-reciprocal beam patterns
stochastic geometry
Stochastic processes
Structural beams
Transceivers
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Summary: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.
ISSN:1673-5447
DOI:10.23919/JCC.ea.2022-0292.202401