{"title":"QoE-Driven Multiple UAVs-Mounted Reconfigurable Intelligent Surface Communication","authors":"Haowen Xu;Jianchao Chen;Ming Jiang","doi":"10.1109/LCOMM.2024.3481963","DOIUrl":null,"url":null,"abstract":"In this letter, we investigate a new reconfigurable intelligent surface (RIS) aided unmanned aerial vehicle (RUAV) system. Specifically, a multiple-RUAV (mRUAV) scenario is considered, where a new hybrid quality-of-experience (HQoE) metric jointly considering energy efficiency, relative data rate quality and transmission delay is designed. The objective of the proposed system is to maximize HQoE by jointly optimizing the transmit power of base station (BS), the beamformers at BS and RUAVs, and the positions of RUAVs. For handling this non-convex optimization problem, we first optimize the positions of RUAVs by a sphere estimation based particle swarm optimization (SEPSO) algorithm, and then apply the block coordinate descent (BCD) algorithm on the other variables. Simulation results show that the proposed system can outperform existing solutions.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"2824-2828"},"PeriodicalIF":4.4000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10720027/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this letter, we investigate a new reconfigurable intelligent surface (RIS) aided unmanned aerial vehicle (RUAV) system. Specifically, a multiple-RUAV (mRUAV) scenario is considered, where a new hybrid quality-of-experience (HQoE) metric jointly considering energy efficiency, relative data rate quality and transmission delay is designed. The objective of the proposed system is to maximize HQoE by jointly optimizing the transmit power of base station (BS), the beamformers at BS and RUAVs, and the positions of RUAVs. For handling this non-convex optimization problem, we first optimize the positions of RUAVs by a sphere estimation based particle swarm optimization (SEPSO) algorithm, and then apply the block coordinate descent (BCD) algorithm on the other variables. Simulation results show that the proposed system can outperform existing solutions.
期刊介绍：
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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