Deterministic and Stochastic Simulators for Non-Isotropic V2V-MIMO Wideband Channels

作     者：Yiran Li Xiang Cheng Nan Zhang 

作者机构：State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Wireless Algorithm Department Product Research and Development System ZTE Corporation 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2018年第15卷第7期

页      面：18-29页

核心收录：

学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0838[工学-公安技术] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：supported in part by the project from the ZTE the National Natural Science Foundation of China under Grant 61622101 and Grant 61571020 National Science and Technology Major Project under Grant 2018ZX03001031 

主　　题：vehicle-to-vehicle wideband channels simulation model statistical properties 

摘      要：In this paper, we consider a novel two-dimensional(2D) geometry-based stochastic model(GBSM) for multiple-input multiple-output(MIMO) vehicle-to-vehicle(V2V) wideband fading channels. The proposed model employs the combination of a two-ring model and a multiple confocal ellipses model, where the signal is sum of the line-of-sight(Lo S) component, single-bounced(SB) rays, and double-bounced(DB) rays. Based on the reference model, we derive some expressions of channel statistical properties, including space-time correlation function(STCF), Doppler spectral power density(DPSD), envelope level crossing rate(LCR) and average fade duration(AFD). In addition, corresponding deterministic and stochastic simulation models are developed based on the reference model. Moreover, we compare the statistical properties of the reference model and the two simulation models in different scenarios and investigate the impact of different vehicular traffic densities(VTDs) on the channel statistical properties of the proposed model. Finally, the great agreement between simulation models and the reference model demonstrates not only the utility of simulation models, but also the correctness of theoretical derivations and simulations.