6 citations · 8 across the 4 of their papers we have counts for
5 papers
Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher +1
Utilizing deep learning (DL) techniques for radio-based positioning of user equipment (UE) through channel state information (CSI) fingerprints has demonstrated significant potenti…
Deep Learning based Positioning with Multi-task Learning and Uncertainty-based Fusion
Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher +1
Deep learning (DL) methods have been shown to improve the performance of several use cases for the fifth-generation (5G) New radio (NR) air interface. In this paper we investigate…
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
Radio based positioning of a user equipment (UE) based on deep learning (DL) methods using channel state information (CSI) fingerprints have shown promising results. DL models are…
Reliable Deep Learning based Localization with CSI Fingerprints and Multiple Base Stations
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
Deep learning (DL) methods have been recently proposed for user equipment (UE) localization in wireless communication networks, based on the channel state information (CSI) between…
CSI-Based Localization with CNNs Exploiting Phase Information
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
In this paper we study the use of the Channel State Information (CSI) as fingerprint inputs of a Convolutional Neural Network (CNN) for localization. We examine whether the CSI can…