This paper combines a model-based neural architecture that learns the location-to-channel mapping with model-based optimization techniques to perform UE localization through MIMO systems, with sub-wavelegth precision. Preprint.

This paper presents a differentiable MUSIC model to perform joint DoA and harwdare impairments mitigation. Accepted to IEEE ICC 2025.

This paper presents how channel charting can be used to perform CSI compression in FDD MIMO systems. Published in IEEE ASILOMAR 2024.

This paper studies the location-to-channel mapping learning in a multi-antenna multi-frequency setting. Published in IEEE Journal of Selected Topics in Signal Processing.

This paper present a new neural archicture for single target Integrated Sensing and Communications with limited labeled data. Published in IEEE ICMLCN 2024.

This paper present a new neural archicture for the location-to-channel mapping learnign problem. Published in IEEE ICASSP 2024.

This paper presents how the use of channel charting and deep learning allows to decrease the complexity of beam allocation in Cell Free Massive MIMO systems. Published in IEEE ASILOMAR 2023.

This paper reviews the use of triplet networks for channel charting. Published in GRETSI 2023.

This paper reviews the influence of dataset parameter on UE positioning performance with deep learning methods. Published in IEEE EUCNC&6G Summit 2023.

This paper presents an improved unfolded MP algorithm for SISO-OFDM channel estimation. Published in IEEE ICC 2023.

This paper reviews the impact of phase noise on the array factor. Published in IEEE WCNC 2023.