{"title":"Recent Studies on Deep Reinforcement Learning in RIS-UAV Communication Networks","authors":"Tri-Hai Nguyen, Heejae Park, Laihyuk Park","doi":"10.1109/ICAIIC57133.2023.10067052","DOIUrl":null,"url":null,"abstract":"Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) technologies have recently been identified as enablers for future wireless networks. Deep reinforcement learning (DRL) is also a potential technique for optimizing performance in dynamic and complex networking environments. In this paper, we examine the state-of-the-art studies on DRL utilization in RIS-UAV communication systems concerning their objectives, optimization parameters, deployment scenarios, and DRL methods. In addition, we emphasize research challenges and directions that can be addressed to improve RIS-UAV networks.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIC57133.2023.10067052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) technologies have recently been identified as enablers for future wireless networks. Deep reinforcement learning (DRL) is also a potential technique for optimizing performance in dynamic and complex networking environments. In this paper, we examine the state-of-the-art studies on DRL utilization in RIS-UAV communication systems concerning their objectives, optimization parameters, deployment scenarios, and DRL methods. In addition, we emphasize research challenges and directions that can be addressed to improve RIS-UAV networks.