RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations

被引：0
|
作者：
Sardellitti, Stefania [1 ]
Lorenzo, Paolo Di [1 ]
Barbarossa, Sergio [1 ]
机构：
[1] Sapienza Univ Rome, Dept Informat Engn Elect & Telecommun DIET, I-00184 Rome, Italy
来源：
IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 05期
基金：
欧盟地平线“2020”;
关键词：
Location awareness; Fingerprint recognition; Wireless communication; Vectors; Reconfigurable intelligent surfaces; Interpolation; Estimation; Fingerprinting localization; reconfigurable intelligent surfaces; radio map recovery; graph signal processing; RECONFIGURABLE INTELLIGENT SURFACES;
D O I：
10.1109/LCOMM.2024.3380741
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The aim of this letter is to propose a novel method for wireless fingerprinting localization empowered by reconfigurable intelligent surfaces (RISs), exploiting the flexibility offered by RIS configuration control, and coping with the possible lack of received signal strength information (RSSI) at certain locations. The proposed approach hinges on a graph-based radio map interpolation method, which encodes similarities between model-generated RSSI, collected across spatial and fingerprints domains through the topology of a multi-layer graph. Numerical results illustrate the advantages of the proposed approach with respect to previous methods, in terms of both radio map recovery and accuracy of wireless localization.
引用
收藏
页码：1043 / 1047
页数：5
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