{"title":"Modeling and Analysis of Inter-platoon Communication with Stochastic Geometry","authors":"Bingxue Leng, Xinyu Gu, Lei Zhang, Lin Zhang","doi":"10.1109/WPMC48795.2019.9096140","DOIUrl":null,"url":null,"abstract":"Recent studies show that platoon is can substantially improve traffic safety and efficiency. In this paper, resource partition and message transmission schemes with geo-based resources allocation (GRA) for inter-platoon communication are proposed. Based on that, received signal-to-interference-plus-noise ratio (SINR) is analyzed. The expressions of success transmission probability and average energy efficiency (EE) are obtained by using the tool of stochastic geometry. In particular, the optimum transmit power that fulfills a given minimum success probability constraint while maximizing the average EE is calculated. Mathematical results show both success probability and average EE can be improved by adjusting the transmit power. All the analytical results are validated through extensive Monte Carlo simulations.","PeriodicalId":298927,"journal":{"name":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPMC48795.2019.9096140","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
Recent studies show that platoon is can substantially improve traffic safety and efficiency. In this paper, resource partition and message transmission schemes with geo-based resources allocation (GRA) for inter-platoon communication are proposed. Based on that, received signal-to-interference-plus-noise ratio (SINR) is analyzed. The expressions of success transmission probability and average energy efficiency (EE) are obtained by using the tool of stochastic geometry. In particular, the optimum transmit power that fulfills a given minimum success probability constraint while maximizing the average EE is calculated. Mathematical results show both success probability and average EE can be improved by adjusting the transmit power. All the analytical results are validated through extensive Monte Carlo simulations.