{"title":"AOA-TOA based localization for 5G cell-less communications","authors":"Seungnyun Kim, S. Park, Hyoungju Ji, B. Shim","doi":"10.23919/APCC.2017.8304042","DOIUrl":null,"url":null,"abstract":"Cell-less communication is one of a promising technology of 5G wireless communications for providing a user-centric approach that goes beyond the regional cell of the conventional cellular system. In order to provide user-centric services, location information of the mobile station is required. In this paper, we propose a new localization technique to support the cell-less communication. The proposed scheme consists of two parts. First, estimating the signal parameters, angle of arrival (AOA) and time of arrival (TOA) through the maximum likelihood estimation. After the signal parameter estimation, the localization of the mobile station is performed using the estimated AOA-TOA information. Simulation results demonstrate that the proposed method achieves substantial performance in estimating the location of the mobile station.","PeriodicalId":320208,"journal":{"name":"2017 23rd Asia-Pacific Conference on Communications (APCC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 23rd Asia-Pacific Conference on Communications (APCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/APCC.2017.8304042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Cell-less communication is one of a promising technology of 5G wireless communications for providing a user-centric approach that goes beyond the regional cell of the conventional cellular system. In order to provide user-centric services, location information of the mobile station is required. In this paper, we propose a new localization technique to support the cell-less communication. The proposed scheme consists of two parts. First, estimating the signal parameters, angle of arrival (AOA) and time of arrival (TOA) through the maximum likelihood estimation. After the signal parameter estimation, the localization of the mobile station is performed using the estimated AOA-TOA information. Simulation results demonstrate that the proposed method achieves substantial performance in estimating the location of the mobile station.