RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations

The aim of this paper 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.