{"title":"Energy Efficient Cooperative Strategy over LEO Satellite Internet of Things","authors":"Kaiwei Wang, Shuo Wang","doi":"10.1109/COMNETSAT56033.2022.9994537","DOIUrl":null,"url":null,"abstract":"We design an energy efficient cooperative strategy over LEO satellite IoT network. We construct a queueing model to describe UEs' data flow and formulate a long-term optimization problem. With Lyapunov optimization approach, we convert the problem into an instantaneous one that can be easily solved with real-time satellite channel states and queue backlog information. We then divide the instantaneous optimization problem into two parts: admission control and beamforming optimization, and solve them with liner programming and WMMSE method separately. The simulation results suggest that we may achieve varied trade-offs between energy efficiency and data traffic latency using a control parameter, which is compatible with the theoretical analysis.","PeriodicalId":221444,"journal":{"name":"2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMNETSAT56033.2022.9994537","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
We design an energy efficient cooperative strategy over LEO satellite IoT network. We construct a queueing model to describe UEs' data flow and formulate a long-term optimization problem. With Lyapunov optimization approach, we convert the problem into an instantaneous one that can be easily solved with real-time satellite channel states and queue backlog information. We then divide the instantaneous optimization problem into two parts: admission control and beamforming optimization, and solve them with liner programming and WMMSE method separately. The simulation results suggest that we may achieve varied trade-offs between energy efficiency and data traffic latency using a control parameter, which is compatible with the theoretical analysis.