A Vehicle-to-Vehicle Channel Model for Tactical Communication Environments

被引:0
|
作者
Lin, Xin [1 ]
Liu, Aijun [1 ]
Liang, Xiaohu [1 ,2 ]
Han, Chen [3 ]
机构
[1] Army Engn Univ PLA, Coll Commun Engn, Nanjing 210007, Peoples R China
[2] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210018, Peoples R China
[3] Natl Univ Def Technol, 63th Inst, Nanjing 210007, Peoples R China
关键词
Tactical communication; Vehicle-to-vehicle channel; Directional antennas; Tactical terrain; Channel; fading characteristics statistics; PROPAGATION CHANNELS; MOVING SCATTERERS; IMPACT;
D O I
10.11999/JEIT211587
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the tactical communication environments, the characteristics of the wireless channel between mobile vehicle platforms become more complicated. The impact of the special tactical factors is not taken into account in the traditional mobile channel models. Therefore, these models are difficult to be applied directly to the design and optimization of vehicular systems in the tactical scenarios. In order to address the limitation of traditional mobile channel models, a Tactical Vehicle-to-Vehicle (T-V2V) channel model is proposed for the tactical communication environments, which considers jointly the influences of the mutual movement between two vehicle platforms, the alignment problem of directional antennas and the tactical terrain. Then, the proposed model is statistically analyzed based on the index of the Lever Crossing Rate (LCR) and the Average Duration of Fading (ADF). The simulation results show that the proposed model is more suitable for the actual situation and reflects the changing characteristics of V2V channel more accurately in the tactical environments. Finally, the relevant factors of the proposed model are analyzed and the conclusions can provide important guiding significance for the physical layer design in tactical communication environments.
引用
收藏
页码:1023 / 1031
页数:9
相关论文
共 22 条
  • [1] A STATISTICAL-MODEL OF MOBILE-TO-MOBILE LAND COMMUNICATION CHANNEL
    AKKI, AS
    HABER, F
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1986, 35 (01) : 2 - 7
  • [2] Improved S-AF and S-DF Relaying Schemes Using Machine Learning Based Power Allocation Over Cascaded Rayleigh Fading Channels
    Alghorani, Yahia
    Chekkouri, Ahmed Salim
    Chekired, Djabir Abdeldjalil
    Pierre, Samuel
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7508 - 7520
  • [3] A 3-D Nonstationary Wideband V2V GBSM With UPAs for Massive MIMO Wireless Communication Systems
    Bai, Lu
    Huang, Ziwei
    Du, Haohua
    Cheng, Xiang
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (24): : 17622 - 17638
  • [4] lan LU Chun, 2013, ELECTROMAGNETIC WAVE, P134
  • [5] Li CR, 2020, CHINA COMMUN, V17, P30, DOI 10.23919/JCC.2020.02.003
  • [6] Measurements and Analysis of Propagation Channels in Vehicle-to-Infrastructure Scenarios
    Li, Wei
    Hu, Xiaoya
    Gao, Jie
    Zhao, Lian
    Jiang, Tao
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (04) : 3550 - 3561
  • [7] Impact of Moving Scatterers in Channel Correlations and Doppler Spectral Densities for Vehicle-to-vehicle Communications
    Liang X.
    Zhao X.
    Li Y.
    [J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2017, 39 (03): : 613 - 618
  • [8] MOLISCH A F, 2020, WIRELESS COMMUNICATI, V2nd, P57
  • [9] Channel Modeling for Wireless Communications Using Ambit Processes
    Rakesh, R. T.
    Viterbo, Emanuele
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (12) : 8396 - 8409
  • [10] Vehicle-vehicle channel models for the 5-GHz band
    Sen, Indranil
    Matolak, David W.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, 9 (02) : 235 - 245