In Urban Environment Vehicle-to-Vehicle Channel Modeling Based on Geometric Random Model

被引:0
|
作者
Mao J.-M. [1 ]
Wei Z.-X. [1 ]
Xing B.-Q. [1 ]
Liu K.-Z. [1 ]
Zhao Y. [1 ]
机构
[1] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing
关键词
Channel characteristics; Geometric random model; Urban street; Y-shaped scattering model;
D O I
10.13190/j.jbupt.2020-251
中图分类号
学科分类号
摘要
In complex and changeable urban environment, the communication channel is interfered by various obstacles. The model of the vehicle-to-vehicle channel in the intersection scene is built. In this scene, the scatterers are not uniformly distributed. A Y-shaped random model suitable for intersections is proposed. Based on the ellipsoid range limited by the maximum time delay, the geometric random model is established for the vehicle scatterer on the road and the building scatterers beside the road. In this model, the static scatterers on both sides of the road is assumed to be exponentially distributed in the building area, and the moving scatterers are uniformly distributed in the lane area. In order to get close to the real environment, the discrete Markov process is used to simulate the time-varying characteristics of the scatterers. The arrival angle, the delay power spectrum, the time autocorrelation function, the space cross-correlation function, and the Doppler power spectrum density are deduced and simulated. In addition, the random channel model based on geometry has enough generality and can be used to model communication scenes in various urban environments by adjusting channel parameters. © 2021, Editorial Department of Journal of Beijing University of Posts and Telecommunications. All right reserved.
引用
收藏
页码:124 / 130
页数:6
相关论文
共 11 条
  • [1] Ameen H A., A deep review and analysis of data exchange in vehicle-to-vehicle communications systems: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions, IEEE Access, 7, pp. 158349-158378, (2019)
  • [2] Li Y, Cheng X, Zhang N., Deterministic and stochastic simulators for non-isotropic V2V-MIMO wideband channels, China Communications, 15, 7, pp. 18-29, (2018)
  • [3] Askar R, Sarmadi M M, Undi F, Et al., Time dispersion parameters of outdoor cross-polar self-interference radio channels in sub-8 GHz bands, 2020 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-6, (2020)
  • [4] Zhao R, Liu Q, Hu Q, Et al., Lyapunov-based crowd stability analysis for asymmetric pedestrian merging layout at T-shaped street junction, IEEE Transactions on Intelligent Transportation Systems, 6, pp. 1-10, (2020)
  • [5] Chang H, Bian J, Wang C, Et al., A 3D non-stationary wideband GBSM for low-altitude UAV-to-ground V2V MIMO channels, IEEE Access, 7, pp. 70719-70732, (2019)
  • [6] Liang X, Zhao X, Li S, Et al., A non-stationary geometry-based scattering model for street vehicle-to-vehicle wideband MIMO channels, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 2239-2243, (2015)
  • [7] Cheng L, Stancil D D, Bai F., A roadside scattering model for the vehicle-to-vehicle communication channel, IEEE Journal on Selected Areas in Communications, 31, 9, pp. 449-459, (2013)
  • [8] Cui Z, Guan K, He D, Et al., Propagation modeling for UAV air-to-ground channel over the simple mountain terrain, 2019 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1-6, (2019)
  • [9] Wang M, Ma N, Chen J, Et al., A novel geometry-based MIMO channel model for vehicle-to-vehicle communication systems, 2019 IEEE 5th International Conference on Computer and Communications (ICCC), pp. 762-767, (2019)
  • [10] Jiang H, Ying W, Zhou J, Et al., A 3D wideband two-cluster channel model for massive MIMO vehicle-to-vehicle communications in semi-ellipsoid environments, IEEE Access, 8, pp. 23594-23600, (2020)