{"title":"可重构智能表面辅助毫米波MIMO-OFDM系统的用户定位","authors":"Menglei Sheng;Youming Li;Wanyuan Cai;Qinke Qi;Zhenqian Wu;Yonghong Wu","doi":"10.1109/LCOMM.2024.3509621","DOIUrl":null,"url":null,"abstract":"We discuss the user localization problem assisted by reconfigurable intelligent surfaces (RIS) in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. By exploring the inherent sparse scattering characteristics of mmWave channels, we propose a tensor decomposition based method to obtain the channel parameters (i.e. angle, delay) required for user localization. Specifically, the received signal is modeled as a low-rank third-order tensor fitting a typical polyhedral model which contains a factor matrix of channel parameters. Then, we design a structured tensor decomposition method to estimate the channel parameters by using the Vandermonde property of factor matrices. Finally, based on the least squares criterion, the location of user are obtained from the estimated channel parameters. Simulation results show that the proposed estimation scheme can achieve a centimeter-level resolution of user localization.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"190-194"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"User Localization for Reconfigurable Intelligent Surface-Assisted mmWave MIMO-OFDM Systems\",\"authors\":\"Menglei Sheng;Youming Li;Wanyuan Cai;Qinke Qi;Zhenqian Wu;Yonghong Wu\",\"doi\":\"10.1109/LCOMM.2024.3509621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss the user localization problem assisted by reconfigurable intelligent surfaces (RIS) in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. By exploring the inherent sparse scattering characteristics of mmWave channels, we propose a tensor decomposition based method to obtain the channel parameters (i.e. angle, delay) required for user localization. Specifically, the received signal is modeled as a low-rank third-order tensor fitting a typical polyhedral model which contains a factor matrix of channel parameters. Then, we design a structured tensor decomposition method to estimate the channel parameters by using the Vandermonde property of factor matrices. Finally, based on the least squares criterion, the location of user are obtained from the estimated channel parameters. Simulation results show that the proposed estimation scheme can achieve a centimeter-level resolution of user localization.\",\"PeriodicalId\":13197,\"journal\":{\"name\":\"IEEE Communications Letters\",\"volume\":\"29 1\",\"pages\":\"190-194\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-12-02\",\"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/10772118/\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10772118/","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}
User Localization for Reconfigurable Intelligent Surface-Assisted mmWave MIMO-OFDM Systems
We discuss the user localization problem assisted by reconfigurable intelligent surfaces (RIS) in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. By exploring the inherent sparse scattering characteristics of mmWave channels, we propose a tensor decomposition based method to obtain the channel parameters (i.e. angle, delay) required for user localization. Specifically, the received signal is modeled as a low-rank third-order tensor fitting a typical polyhedral model which contains a factor matrix of channel parameters. Then, we design a structured tensor decomposition method to estimate the channel parameters by using the Vandermonde property of factor matrices. Finally, based on the least squares criterion, the location of user are obtained from the estimated channel parameters. Simulation results show that the proposed estimation scheme can achieve a centimeter-level resolution of user localization.
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.
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