{"title":"Pilot-to-Data Power Ratio in RIS-Assisted Multiantenna Communication","authors":"Masoud Sadeghian;Angel Lozano;Gabor Fodor","doi":"10.1109/LWC.2025.3547530","DOIUrl":null,"url":null,"abstract":"The optimization of the pilot-to-data power ratio (PDPR) is a recourse that helps wireless systems to acquire channel state information while minimizing the pilot overhead. While the optimization of the PDPR in cellular networks has been studied extensively, the effect of the PDPR in reconfigurable intelligence surface (RIS)-assisted networks has hardly been examined. This letter tackles this optimization when the communication is assisted by a RIS whose phase shifts are adjusted on the basis of the statistics of the channels. For a setting representative of a macrocellular deployment, the benefits of optimizing the PDPR are seen to be significant over a broad range of operating conditions. These benefits, demonstrated through the ergodic minimum mean squared error, for which a closed-form solution is derived, become more pronounced as the number of RIS elements and/or the channel coherence grow large.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 5","pages":"1506-1510"},"PeriodicalIF":5.5000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10909172/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The optimization of the pilot-to-data power ratio (PDPR) is a recourse that helps wireless systems to acquire channel state information while minimizing the pilot overhead. While the optimization of the PDPR in cellular networks has been studied extensively, the effect of the PDPR in reconfigurable intelligence surface (RIS)-assisted networks has hardly been examined. This letter tackles this optimization when the communication is assisted by a RIS whose phase shifts are adjusted on the basis of the statistics of the channels. For a setting representative of a macrocellular deployment, the benefits of optimizing the PDPR are seen to be significant over a broad range of operating conditions. These benefits, demonstrated through the ergodic minimum mean squared error, for which a closed-form solution is derived, become more pronounced as the number of RIS elements and/or the channel coherence grow large.
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. 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 wireless communication systems.