基于图着色的V2V通信频谱共享

Shuang Xiao, Wenzao Li, Lingling Yang, Zhan Wen
{"title":"基于图着色的V2V通信频谱共享","authors":"Shuang Xiao, Wenzao Li, Lingling Yang, Zhan Wen","doi":"10.1109/UCET51115.2020.9205455","DOIUrl":null,"url":null,"abstract":"V2V communication is always combined with cellular network and device-to-device (D2D) communication. The vehicles transmitting with a cellular base station (BS) can realize the vehicle-to-infrastructure (V2I) based on the uplink channels and infrastructure-to-vehicle (I2V) communication based on the downlink channels. The clustering methods are widely applicated on V2V communication to improve spectrum utilization. Meanwhile, the information transmission of vehicles needs enough capacity. And V2V links are vulnerable to the outage case caused by the high mobility of vehicles. To guarantee the capacity of all links and V2V stability for transmission requirements, we propose a heuristic Graph-Coloring Based Spectrum Sharing (GCSS) scheme based on both traceable slow-varying large scale fading information. The GCSS algorithm is divided into two sub-problems, including the power control considering the V2V outage probability and the graph-coloring clustering algorithm. Importantly, the allocated optimal power is calculated by V2I and I2V spectrum reusing formulation. The graph-coloring clustering method includes the available color channel building of each V2V link, the interference graph of the V2V links and the improved heuristic clustering algorithm. The simulation results show that the GCSS scheme improves the system capacity, the cellular capacity, and the V2V clusters capacity compared with the heuristic clustering algorithm.","PeriodicalId":163493,"journal":{"name":"2020 International Conference on UK-China Emerging Technologies (UCET)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Graph-Coloring Based Spectrum Sharing for V2V communication\",\"authors\":\"Shuang Xiao, Wenzao Li, Lingling Yang, Zhan Wen\",\"doi\":\"10.1109/UCET51115.2020.9205455\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"V2V communication is always combined with cellular network and device-to-device (D2D) communication. The vehicles transmitting with a cellular base station (BS) can realize the vehicle-to-infrastructure (V2I) based on the uplink channels and infrastructure-to-vehicle (I2V) communication based on the downlink channels. The clustering methods are widely applicated on V2V communication to improve spectrum utilization. Meanwhile, the information transmission of vehicles needs enough capacity. And V2V links are vulnerable to the outage case caused by the high mobility of vehicles. To guarantee the capacity of all links and V2V stability for transmission requirements, we propose a heuristic Graph-Coloring Based Spectrum Sharing (GCSS) scheme based on both traceable slow-varying large scale fading information. The GCSS algorithm is divided into two sub-problems, including the power control considering the V2V outage probability and the graph-coloring clustering algorithm. Importantly, the allocated optimal power is calculated by V2I and I2V spectrum reusing formulation. The graph-coloring clustering method includes the available color channel building of each V2V link, the interference graph of the V2V links and the improved heuristic clustering algorithm. The simulation results show that the GCSS scheme improves the system capacity, the cellular capacity, and the V2V clusters capacity compared with the heuristic clustering algorithm.\",\"PeriodicalId\":163493,\"journal\":{\"name\":\"2020 International Conference on UK-China Emerging Technologies (UCET)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on UK-China Emerging Technologies (UCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UCET51115.2020.9205455\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on UK-China Emerging Technologies (UCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCET51115.2020.9205455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

V2V通信总是与蜂窝网络和设备对设备(D2D)通信相结合。使用蜂窝基站(BS)传输的车辆可以实现基于上行信道的车对基础设施(V2I)通信和基于下行信道的基础设施对车辆(I2V)通信。聚类方法被广泛应用于V2V通信中,以提高频谱利用率。同时,车辆的信息传输需要足够的容量。而V2V链路容易受到车辆高机动性造成的中断情况的影响。为了保证所有链路的容量和满足传输要求的V2V稳定性,我们提出了一种基于可跟踪的慢变大尺度衰落信息的启发式图着色频谱共享(GCSS)方案。GCSS算法分为考虑V2V停电概率的功率控制和图着色聚类算法两个子问题。重要的是,分配的最优功率是通过V2I和I2V频谱复用公式计算的。图着色聚类方法包括各V2V链路的可用颜色通道构建、V2V链路的干涉图和改进的启发式聚类算法。仿真结果表明,与启发式聚类算法相比,GCSS方案提高了系统容量、蜂窝容量和V2V集群容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph-Coloring Based Spectrum Sharing for V2V communication
V2V communication is always combined with cellular network and device-to-device (D2D) communication. The vehicles transmitting with a cellular base station (BS) can realize the vehicle-to-infrastructure (V2I) based on the uplink channels and infrastructure-to-vehicle (I2V) communication based on the downlink channels. The clustering methods are widely applicated on V2V communication to improve spectrum utilization. Meanwhile, the information transmission of vehicles needs enough capacity. And V2V links are vulnerable to the outage case caused by the high mobility of vehicles. To guarantee the capacity of all links and V2V stability for transmission requirements, we propose a heuristic Graph-Coloring Based Spectrum Sharing (GCSS) scheme based on both traceable slow-varying large scale fading information. The GCSS algorithm is divided into two sub-problems, including the power control considering the V2V outage probability and the graph-coloring clustering algorithm. Importantly, the allocated optimal power is calculated by V2I and I2V spectrum reusing formulation. The graph-coloring clustering method includes the available color channel building of each V2V link, the interference graph of the V2V links and the improved heuristic clustering algorithm. The simulation results show that the GCSS scheme improves the system capacity, the cellular capacity, and the V2V clusters capacity compared with the heuristic clustering algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信