{"title":"Robust Precoding for Massive MIMO LEO Satellite Integrated Communication and Localization Systems","authors":"Yongxiang Zhu;Li You;Huibin Zhou;Zhenzhou Jin;Qingfu Kong;Xiqi Gao","doi":"10.1109/LCOMM.2024.3489675","DOIUrl":null,"url":null,"abstract":"Low earth orbit (LEO) satellite networks combined with massive multiple-input multiple-output (MIMO) are expected to support ubiquitous integrated communication and localization (ICAL) with enhanced gains. Ensuring robust localization performance with prior angle uncertainty for the target is essential for ICAL systems. In this letter, we present a robust precoding framework to tackle this issue. We first derive the energy efficiency for communication and the worst-case Cramér-Rao bound (CRB) for localization. Subsequently, we develop a multi-objective framework aimed at simultaneously operating communication and localization for massive MIMO LEO satellite systems. Simulation results illustrate that the proposed scheme can attain satisfactory target angle estimation performance with prior angle uncertainty while guaranteeing the performance of communication.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"21-25"},"PeriodicalIF":3.7000,"publicationDate":"2024-11-01","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/10741194/","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
Low earth orbit (LEO) satellite networks combined with massive multiple-input multiple-output (MIMO) are expected to support ubiquitous integrated communication and localization (ICAL) with enhanced gains. Ensuring robust localization performance with prior angle uncertainty for the target is essential for ICAL systems. In this letter, we present a robust precoding framework to tackle this issue. We first derive the energy efficiency for communication and the worst-case Cramér-Rao bound (CRB) for localization. Subsequently, we develop a multi-objective framework aimed at simultaneously operating communication and localization for massive MIMO LEO satellite systems. Simulation results illustrate that the proposed scheme can attain satisfactory target angle estimation performance with prior angle uncertainty while guaranteeing the performance of communication.
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.