Jason Ma, M. Ostertag, Dinesh Bharadia, T. Simunic
{"title":"Frequency-aware Trajectory and Power Control for Multi-UAV Systems","authors":"Jason Ma, M. Ostertag, Dinesh Bharadia, T. Simunic","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484552","DOIUrl":null,"url":null,"abstract":"Deploying large numbers of unmanned aerial vehicles (UAVs) within a region can result in an overcrowded radio frequency (RF) spectrum, requiring UAVs to coordinate frequency selection and mobility to prevent data loss. Current work in interference coordination for multi-UAV systems reduces interference through the use of either trajectory and power control or channel assignments, but not both. We propose a novel controller which selects channels, creates trajectories, and controls transmit power for each UAV to increase the networking capacity of a multi-UAV system. Results show that the proposed controller yields 27% increased network capacity over state of the art UAV frequency reuse algorithms, 152% increased network capacity over state of the art UAV trajectory and power controllers, and 135% faster control overall.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484552","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
Deploying large numbers of unmanned aerial vehicles (UAVs) within a region can result in an overcrowded radio frequency (RF) spectrum, requiring UAVs to coordinate frequency selection and mobility to prevent data loss. Current work in interference coordination for multi-UAV systems reduces interference through the use of either trajectory and power control or channel assignments, but not both. We propose a novel controller which selects channels, creates trajectories, and controls transmit power for each UAV to increase the networking capacity of a multi-UAV system. Results show that the proposed controller yields 27% increased network capacity over state of the art UAV frequency reuse algorithms, 152% increased network capacity over state of the art UAV trajectory and power controllers, and 135% faster control overall.