{"title":"Latency-constrained content dissemination scheme in vehicular networks","authors":"Suxia Guo, Ronghui Hou, K. Lui, Hongyan Li","doi":"10.1109/ICCChina.2017.8330484","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the latency-constrained content dissemination scheme in vehicular networks. Moreover, we assume that roadside units (RSUs) are densely deployed such that a vehicle may suffer interference from neighboring RSUs. Due to interference, the transmission rate varies as the vehicle moves. We formulate the content scheduling problem with the objective of minimizing the spectrum resources consumption while satisfying the delay requirement of contents. Due to the huge computation complexity, we then propose a sub-optimal algorithm based on time expanded graph. We conduct simulation experiments to evaluate the performance of our proposed algorithm.","PeriodicalId":418396,"journal":{"name":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/CIC International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCChina.2017.8330484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we consider the latency-constrained content dissemination scheme in vehicular networks. Moreover, we assume that roadside units (RSUs) are densely deployed such that a vehicle may suffer interference from neighboring RSUs. Due to interference, the transmission rate varies as the vehicle moves. We formulate the content scheduling problem with the objective of minimizing the spectrum resources consumption while satisfying the delay requirement of contents. Due to the huge computation complexity, we then propose a sub-optimal algorithm based on time expanded graph. We conduct simulation experiments to evaluate the performance of our proposed algorithm.