RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations

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 c...

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Bibliographic Details
Published inIEEE communications letters Vol. 28; no. 5; pp. 1043 - 1047
Main Authors Sardellitti, Stefania, Lorenzo, Paolo Di, Barbarossa, Sergio
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Estimation
Fingerprint recognition
Fingerprinting
Fingerprinting localization
graph signal processing
Graphical representations
Interpolation
Localization
Location awareness
Multilayers
Radio
radio map recovery
Reconfigurable intelligent surfaces
Signal strength
Topology
Vectors
Wireless communication
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Summary: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2024.3380741