Regular-Shaped Geometry-Based Stochastic Model for Vehicle-to-Vehicle Visible Light Communication Channel

被引:0
|
作者
Alsalami, Farah M. [1 ]
Ahmad, Zahir [1 ]
Haas, Olivier [1 ]
Rajbhandari, Sujan [1 ]
机构
[1] Coventry Univ, Res Inst Future Transport & Cities, Fac Engn Environm & Comp, Coventry CV1 5FB, W Midlands, England
关键词
vehicle to vehicle (V2V) communication; visible light communication (VLC); outdoor channel model; regular shaped geometry based stochastic model (RS-GBSM);
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes an outdoor vehicle-to-vehicle visible light communication (VVLC) channel model. Due to the lack of a realistic channel model that takes the vehicles mobility and the light propagation nature into consideration, we propose a regular-shaped geometry based stochastic channel model (RS-GBSM). Particularly, we suggest the ellipse shape to describe the line of sight (LOS) and the reflection components of the VVLC. This approach offers flexibility to describe vehicles locations, speed and direction as well as stationary and non-stationary reflectors which are changing rapidly and continuously. The simulation results demonstrate that the LOS channel component is more affected by the direction of motion than the reflection component, whereas the reflection component is more affected by the relative speed of the vehicles.
引用
收藏
页码:297 / 301
页数:5
相关论文
共 50 条
  • [41] Simulation and Analysis of Extended Spatial Channel Model in Vehicle-to-Vehicle Communication Environments
    Chen, Xin
    Zhu, Yaolin
    Fang, Yong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [42] A Novel 3D Wideband Geometry-Based Channel Model for 5G Massive MIMO Vehicle-to-Vehicle Communications in Urban Merging Areas
    Gu, Lulu
    Ma, Nan
    Chen, Jianqiao
    Wang, Lingfeng
    Liu, Baoling
    2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
  • [43] Undersampled Differential Phase Shift On-Off Keying for Visible Light Vehicle-to-Vehicle Communication
    Plattner, Michael
    Ostermayer, Gerald
    APPLIED SCIENCES-BASEL, 2021, 11 (05): : 1 - 20
  • [44] A TDL Based Non-WSSUS Vehicle-to-Vehicle Channel Model
    Li, Yan
    Ai, Bo
    Cheng, Xiang
    Lin, Siyu
    Zhong, Zhangdui
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2013, 2013
  • [45] A Novel Geometry-Based Stochastic Channel Model in Integrated Sensing and Communication Scenarios
    Jin, Yunwei
    He, Ruisi
    Ai, Bo
    Wu, Tong
    Zhang, Haoxiang
    Liu, Bincheng
    Li, Yujian
    Li, Jing
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (07) : 2018 - 2022
  • [46] 3D Wideband Non-Stationary Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels
    Yuan, Yi
    Wang, Cheng-Xiang
    He, Yejun
    Alwakeel, Mohammed M.
    Aggoune, el-Hadi M.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (12) : 6883 - 6895
  • [47] Traffic light to vehicle visible light communication channel characterization
    Cui, Kaiyun
    Chen, Gang
    Xu, Zhengyuan
    Roberts, Richard D.
    APPLIED OPTICS, 2012, 51 (27) : 6594 - 6605
  • [48] Reinforcement Learning-based Multi-hop Intelligent Route Selection for Vehicle-to-Vehicle Visible Light Communication
    Yin, Rong-rong
    Jia, Kuan-kuan
    Qin, Hao
    Zhai, Meng-fa
    Ma, Shao-ying
    He, Ming-qi
    PROCEEDINGS OF THE 2024 27 TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, CSCWD 2024, 2024, : 1189 - 1194
  • [49] Case Study of Spatial Channel Model for Vehicle-to-Vehicle Communication in Roadside Scattering Environment
    Zormati, Hanene
    Chebil, Jalel
    Tahar, Jamel Bel Hadj
    2018 26TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2018, : 24 - 29
  • [50] Modeling of a Vehicle-to-Vehicle Based Visible Light Communication System Under Shadowing and Investigation of the Diversity-Multiplexing Tradeoff
    Sharda, Pranav
    Bhatnagar, Manav R.
    Ghassemlooy, Zabih
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (09) : 9460 - 9474