{"title":"Efficient Channel Estimation for LIS-based Systems","authors":"Inês Almeida, João Guerreiro, R. Dinis","doi":"10.1109/PIERS59004.2023.10221512","DOIUrl":null,"url":null,"abstract":"Large Intelligent Surface (LIS)-based wireless communication systems rely on chan-nel estimation techniques to estimate the channel state information (CSI) between the transmitter and receiver. However, channel estimation in LIS-based systems is constrained by high training costs. This paper presents an overview of performance analysis and comparison with existing optimization algorithms, demonstrating comparable performance while significantly reducing computational complexity. Nevertheless, additional research is required to optimize the performance of these techniques for different scenarios and to develop implementation strategies that address the challenges posed by scenarios with high mobility.","PeriodicalId":354610,"journal":{"name":"2023 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"94 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Photonics & Electromagnetics Research Symposium (PIERS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIERS59004.2023.10221512","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
Large Intelligent Surface (LIS)-based wireless communication systems rely on chan-nel estimation techniques to estimate the channel state information (CSI) between the transmitter and receiver. However, channel estimation in LIS-based systems is constrained by high training costs. This paper presents an overview of performance analysis and comparison with existing optimization algorithms, demonstrating comparable performance while significantly reducing computational complexity. Nevertheless, additional research is required to optimize the performance of these techniques for different scenarios and to develop implementation strategies that address the challenges posed by scenarios with high mobility.