{"title":"Optimizing Placement and Power Allocation in Reconfigurable Intelligent Sensing Surfaces for Enhanced Sensing and Communication Performance","authors":"Cheng Luo, Jie Hu, Luping Xiang, Kun Yang, Bo Lei","doi":"arxiv-2409.06188","DOIUrl":null,"url":null,"abstract":"In this letter, we investigate the design of multiple reconfigurable\nintelligent sensing surfaces (RISSs) that enhance both communication and\nsensing tasks. An RISS incorporates additional active elements tailored to\nimprove sensing accuracy. Our initial task involves optimizing placement of\nRISSs to mitigate signal interference. Subsequently, we establish power\nallocation schemes for sensing and communication within the system. Our final\nconsideration involves examining how sensing results can be utilized to enhance\ncommunication, alongside an evaluation of communication performance under the\nimpact of sensing inaccuracies. Numerical results reveal that the sensing task\nreaches its optimal performance with a finite number of RISSs, while the\ncommunication task exhibits enhanced performance with an increasing number of\nRISSs. Additionally, we identify an optimal communication spot under user\nmovement.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06188","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
In this letter, we investigate the design of multiple reconfigurable
intelligent sensing surfaces (RISSs) that enhance both communication and
sensing tasks. An RISS incorporates additional active elements tailored to
improve sensing accuracy. Our initial task involves optimizing placement of
RISSs to mitigate signal interference. Subsequently, we establish power
allocation schemes for sensing and communication within the system. Our final
consideration involves examining how sensing results can be utilized to enhance
communication, alongside an evaluation of communication performance under the
impact of sensing inaccuracies. Numerical results reveal that the sensing task
reaches its optimal performance with a finite number of RISSs, while the
communication task exhibits enhanced performance with an increasing number of
RISSs. Additionally, we identify an optimal communication spot under user
movement.