Analysis of a Location-Aware Probabilistic Strategy for Opportunistic Vehicle-to-Vehicle Relay

Wei Song, Xi Tao
{"title":"Analysis of a Location-Aware Probabilistic Strategy for Opportunistic Vehicle-to-Vehicle Relay","authors":"Wei Song, Xi Tao","doi":"10.1109/VTCFall.2017.8288306","DOIUrl":null,"url":null,"abstract":"Vehicular networks can enable a variety of services to improve safety and comfort for travelling. To mitigate the high cost for deploying dense roadside units (RSUs), vehicle-to-vehicle (V2V) communications can complement vehicle-to-infrastructure (V2I) communications to compensate for intermittent connectivity and enhance transmission performance. In this paper, we analyze a location-aware opportunistic V2V relay scheme in terms of the transmission success probability for a target destination vehicle and the connectivity probability when the scheme is applied to inter-connect adjacent RSUs. The analytical approach based on stochastic geometry captures the effects of key system parameters such as vehicle density, RSU coverage, and modulation schemes. It can be used to adapt the forwarding probabilities of relay vehicles with the network conditions. The numerical and simulation results demonstrate the accuracy of the analysis and the effectiveness of V2V relay scheme.","PeriodicalId":375803,"journal":{"name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2017.8288306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Vehicular networks can enable a variety of services to improve safety and comfort for travelling. To mitigate the high cost for deploying dense roadside units (RSUs), vehicle-to-vehicle (V2V) communications can complement vehicle-to-infrastructure (V2I) communications to compensate for intermittent connectivity and enhance transmission performance. In this paper, we analyze a location-aware opportunistic V2V relay scheme in terms of the transmission success probability for a target destination vehicle and the connectivity probability when the scheme is applied to inter-connect adjacent RSUs. The analytical approach based on stochastic geometry captures the effects of key system parameters such as vehicle density, RSU coverage, and modulation schemes. It can be used to adapt the forwarding probabilities of relay vehicles with the network conditions. The numerical and simulation results demonstrate the accuracy of the analysis and the effectiveness of V2V relay scheme.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
机会型车对车中继位置感知概率策略分析
车辆网络可以提供各种服务,以提高旅行的安全性和舒适性。为了降低部署密集路边单元(rsu)的高成本,车对车(V2V)通信可以补充车对基础设施(V2I)通信,以弥补间歇性连接并提高传输性能。本文分析了一种位置感知的机会式V2V中继方案,分析了该方案应用于相邻rsu互连时,目标目的车辆的传输成功概率和连接概率。基于随机几何的分析方法捕获了关键系统参数的影响,如车辆密度、RSU覆盖范围和调制方案。该方法可以根据网络条件调整中继车辆的转发概率。数值和仿真结果验证了分析的准确性和V2V中继方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Novel Framework for Software Defined Wireless Sensor Networks Using LTE Networks for UAV Command and Control Link: A Rural-Area Coverage Analysis Interference Analysis for UAV Connectivity over LTE Using Aerial Radio Measurements Circular Convolution Filter Bank Multicarrier (FBMC) System with Index Modulation Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1