{"title":"A Position Deployment Method for UAV-assisted Ground Base Station Communication","authors":"Jialong Li, Kang Wang, Yu Wang, YaoLei Guo","doi":"10.1109/CCPQT56151.2022.00019","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the problem of location deployment in UAV-assisted ground base station communication scenarios. Specifically, the communication model is first introduced. Based on the communication model, the information transmission mechanism between the base station and the UAV and that between the UAV and the user is constructed. Such that the transmission rate between the UAV and each user is determined. To maximize the system transmission rate, we formulated an UAV location deployment problem. We propose the genetic-based algorithm to solve the formulated problem. Finally, simulation results are provided to evaluate the performance of our proposed algorithm.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPQT56151.2022.00019","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 investigate the problem of location deployment in UAV-assisted ground base station communication scenarios. Specifically, the communication model is first introduced. Based on the communication model, the information transmission mechanism between the base station and the UAV and that between the UAV and the user is constructed. Such that the transmission rate between the UAV and each user is determined. To maximize the system transmission rate, we formulated an UAV location deployment problem. We propose the genetic-based algorithm to solve the formulated problem. Finally, simulation results are provided to evaluate the performance of our proposed algorithm.