Zhaoyang Su, Liu Liu, Jiachi Zhang, Yuanyuan Fan, Kai Wang, Lingfan Zhuang, Zhiyuan Wang, Shengjie Zheng
{"title":"Analysis of Channel Non-Stationarity for V2V and V2I Communications at 5.9GHz in Urban Scenarios","authors":"Zhaoyang Su, Liu Liu, Jiachi Zhang, Yuanyuan Fan, Kai Wang, Lingfan Zhuang, Zhiyuan Wang, Shengjie Zheng","doi":"10.1109/iccworkshops53468.2022.9814640","DOIUrl":null,"url":null,"abstract":"Vehicles have been an important role in people's life. However, traffic accidents caused by vehicles are increasing exponentially with the popularization of vehicles. As an important part of the intelligent transportation system (ITS), vehicle-to-everything (V2X) can improve the traffic efficiency and safety through intercommunication in the transportation system. Urban is a typical scenario in V2X communication with numerous vehicles and infrastructures. The urban channels are non-stationary due to the high speed of vehicles and scatterers. Therefore, we carried out measurement campaigns and analyzed the non-stationarity of vehicle-to-vehicle (V2V) as well as vehicle-to-infrastructure (V2I) channels. In this paper, measurement campaigns for the urban channels at 5.9 GHz were performed including 3 scenarios. The local region of stationarity (LRS) method is used to analyze the non-stationary channel based on actual measured channel data. We focus on the power delay profile (PDP), stationarity interval, and temporal PDP correlation coefficient (TPCC) of the channels. In addition, the statistics analysis of stationarity distance is also provided.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccworkshops53468.2022.9814640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Vehicles have been an important role in people's life. However, traffic accidents caused by vehicles are increasing exponentially with the popularization of vehicles. As an important part of the intelligent transportation system (ITS), vehicle-to-everything (V2X) can improve the traffic efficiency and safety through intercommunication in the transportation system. Urban is a typical scenario in V2X communication with numerous vehicles and infrastructures. The urban channels are non-stationary due to the high speed of vehicles and scatterers. Therefore, we carried out measurement campaigns and analyzed the non-stationarity of vehicle-to-vehicle (V2V) as well as vehicle-to-infrastructure (V2I) channels. In this paper, measurement campaigns for the urban channels at 5.9 GHz were performed including 3 scenarios. The local region of stationarity (LRS) method is used to analyze the non-stationary channel based on actual measured channel data. We focus on the power delay profile (PDP), stationarity interval, and temporal PDP correlation coefficient (TPCC) of the channels. In addition, the statistics analysis of stationarity distance is also provided.