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

作　　者：Zhang Jiachi Liu Liu Tan Zhenhui Wang Kai Li Lu Zhou Tao 

机构地区：[1]School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China [2]Department of Police Information,Shandong Police College,Jinan 250200,China [3]School of Rail Transportation,Shandong Jiaotong University,Jinan 250357,China

出　　处：《China Communications》2024年第10期43-58,共16页中国通信（英文版）

基　　金：supported by the National Key R&D Program of China under grant 2020YFB1804901;the National Natural Science Foundation of China under grant 62341102。

摘　　要：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 Mate?rn hardcore Poisson cluster process.The line-of-sight,singlebounce,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.

关 键 词：beam channel model channel non-stationarity non-reciprocal beam patterns stochastic geometry 

分 类 号：TN929.5[电子电信—通信与信息系统]