首页> 外文期刊>Ad hoc networks >Image-based modeling and simulating physical channel for vehicle-to-vehicle communications
【24h】

Image-based modeling and simulating physical channel for vehicle-to-vehicle communications

机译:车对车通信的基于图像的建模和仿真物理通道

获取原文
获取原文并翻译 | 示例
           

摘要

Vehicle-to-vehicle (V2V) communication systems have received ever-increasing attention since IEEE 802.11p is proposed and approved. The scenarios in V2V communication are quite different from that in traditional wireless communications, e.g. short-lived link holding time, high-speed motion of transmitters and receivers, and low height of antennas. Due to these significant differences, V2V wireless channels are characterized by distinctive spatial as well as temporal impulse responses. From perspective of geometrical optics theory, the paper proposes to comprehensively model V2V physical channel and integrate the proposed models with CarSim and Simulink in order to obtain necessary scenario parameters in real time. A series of traffic and environmental models, including vehicle, road, building, tree, and weather are presented in this paper. Moreover, image method is used to determine potential wave propagation paths consisting of line-of-sight, reflections, diffractions, scatterings and their combinations. Furthermore, typical and prime channel characteristics such as impulse response and average received power are analyzed theoretically, which drive the subsequent V2V communication simulations under various combinations of traffic situation and network scenario.
机译:自从提出并批准IEEE 802.11p以来,车对车(V2V)通信系统受到越来越多的关注。 V2V通信中的场景与传统无线通信中的场景有很大不同,例如链路保持时间短,发射机和接收机的高速运动以及天线的高度低。由于这些显着差异,V2V无线信道的特征在于独特的空间以及时间脉冲响应。从几何光学理论的角度出发,本文提出对V2V物理通道进行综合建模,并将所提出的模型与CarSim和Simulink集成在一起,以便实时获取必要的场景参数。本文介绍了一系列交通和环境模型,包括车辆,道路,建筑物,树木和天气。此外,使用图像方法确定潜在的波传播路径,这些路径包括视线,反射,衍射,散射及其组合。此外,从理论上分析了典型和主要信道特性,例如脉冲响应和平均接收功率,这些特性在流量状况和网络场景的各种组合下驱动了后续的V2V通信仿真。

著录项

  • 来源
    《Ad hoc networks》 |2014年第8期|75-91|共17页
  • 作者单位

    College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Communication and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;

    College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Communication and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China,State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China,No. 2699 Qianjin Avenue, Changchun 130012;

    College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Communication and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China,State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China;

    State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China;

    College of Computer Science and Technology, Jilin University, Changchun 130012, China,Key Laboratory of Symbolic Communication and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicle-to-vehicle communication; Propagation channel; Image method; Signal attenuation;

    机译:车对车通讯;传播渠道;图像方法;信号衰减;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号