车辆自组织网络中基于信道传输环境的网络连通性能

李扬; 赵海涛; 唐紫浩; 张玉婷

doi:10.11959/j.issn.1000-0801.2016303

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车辆自组织网络中基于信道传输环境的网络连通性能

研究与开发 | 更新时间：2024-06-05

- 车辆自组织网络中基于信道传输环境的网络连通性能
- Network connectivity performance for vehicular Ad Hoc networks based on channel transmission environment
- 电信科学 2016年32卷第12期页码：99-103
- 作者机构：
- 作者简介：
  
  [ "李扬（1992-），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为车联网。" ]
  [ "赵海涛（1983-），男，博士，南京邮电大学通信与信息工程学院副教授、院长助理，主要研究方向为下一代网络技术、车联网、网络编码等。" ]
  [ "唐紫浩（1992-），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为异构网络。" ]
  [ "张玉婷（1993-），女，南京邮电大学通信与信息工程学院硕士生，主要研究方向为车联网。" ]
- 基金信息：
  
  国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2013CB329005);国家高技术研究发展计划（“863”计划）基金资助项目;The National High Technology Research and Development Program of China (863 Program)(2014AA01A705);国家自然科学基金资助项目;The National Natural Science Foundation of China(61302100);江苏省普通高校专业学位研究生实践创新计划项目;Practice Innovation Program on College Professional Degree Master of Jiangsu Province(SJZZ16_0144)
- DOI：10.11959/j.issn.1000-0801.2016303
  中图分类号： TN92
- 网络出版日期：2016-12，
  
  纸质出版日期：2016-12-20
- 稿件说明：
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李扬, 赵海涛, 唐紫浩, 等. 车辆自组织网络中基于信道传输环境的网络连通性能[J]. 电信科学, 2016,32(12):99-103.

Yang LI, Haitao ZHAO, Zihao TANG, et al. Network connectivity performance for vehicular Ad Hoc networks based on channel transmission environment[J]. Telecommunications science, 2016, 32(12): 99-103.
李扬, 赵海涛, 唐紫浩, 等. 车辆自组织网络中基于信道传输环境的网络连通性能[J]. 电信科学, 2016,32(12):99-103. DOI： 10.11959/j.issn.1000-0801.2016303.

Yang LI, Haitao ZHAO, Zihao TANG, et al. Network connectivity performance for vehicular Ad Hoc networks based on channel transmission environment[J]. Telecommunications science, 2016, 32(12): 99-103. DOI： 10.11959/j.issn.1000-0801.2016303.

摘要

车辆间的传输干扰在车辆自组织网络中是影响车辆间通信质量的一个重要因素，车辆在同时发送信号过程中会对周围车辆接收的信号产生影响，从而对网络连通性预测产生更大的挑战。根据车辆密度及交通流量，提出一种基于Nakagami的车载网络连通预测模型。该模型采用Nakagami分布特性描述信号传输过程中的衰落信道，通过接收信号功率概率密度函数及信噪比获得车辆间连通概率。仿真结果表明，在传输信号车辆比例达到饱和之前，通过提高传输信号车辆比例可以提高连通概率，但若此比例超过了饱和值则会对车辆连通产生消极的影响。

Abstract

The inter-vehicle transmission interference is one of the key factors to impact the communication performance of vehicular Ad Hoc networks. When vehicles send signals at the same time

it will inevitably have an impact on the surrounding vehicles

which has a negative effect on network connectivity prediction. According to vehicle density and traffic flow

a vehicular network connectivity prediction model was presented based on Nakagami distribution. The Nakagami distribution was used to describe the fading channel in the signal transmission process. Form expression of the inter-vehicle connectivity probability was also derived with power probability density function and signal to noise ratio of received signals.Simulation results show that connectivity probability can be well improved with larger ratio of vehicles which transmit signals before the ratio reaches the maximum.However

negative effect will take place on vehicular connectivity when the ratio exceeds the maximum value.

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references

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