{"title":"Signal-to-noise ratio modeling for vehicle-to-infrastructure communications","authors":"V. Shivaldova, A. Winkelbauer, C. Mecklenbräuker","doi":"10.1109/WIVEC.2014.6953260","DOIUrl":null,"url":null,"abstract":"In this contribution we propose an extension to the range-dependent modified Gilbert model introduced in [1]. With the proposed extension, the model can be used to generate realistic vehicle-to-infrastructure signal-to-noise ratio (SNR) traces along with the corresponding error patterns. We model the SNR as a combination of correlated large scale fading and small scale fading. The model parameters are derived from real-world measurements at 5.9 GHz. The accuracy of our simple and yet effective modeling approach is confirmed by comparing the model generated SNR traces to the measured performance.","PeriodicalId":410528,"journal":{"name":"2014 IEEE 6th International Symposium on Wireless Vehicular Communications (WiVeC 2014)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 6th International Symposium on Wireless Vehicular Communications (WiVeC 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIVEC.2014.6953260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this contribution we propose an extension to the range-dependent modified Gilbert model introduced in [1]. With the proposed extension, the model can be used to generate realistic vehicle-to-infrastructure signal-to-noise ratio (SNR) traces along with the corresponding error patterns. We model the SNR as a combination of correlated large scale fading and small scale fading. The model parameters are derived from real-world measurements at 5.9 GHz. The accuracy of our simple and yet effective modeling approach is confirmed by comparing the model generated SNR traces to the measured performance.