Posts

A new preprint entitled Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning just appeared on arXiv. It shows that model-based learning can be used to predict an FSS response efficiently from its geometric parameters, taking advantage of an equivalent circuit representation.

A new preprint entitled Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems just appeared on arXiv. It is a collaboration with Henk Wymeersch’s team at Chalmers University which shows that gain and phase impairments can be learnt in a unsupervised manner in the context of ISAC transceivers.

Our paper entitled Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media has just been accepted to laser and photonics reviews. This is a joint work with Philipp del Hougne and his team, in which a physical model is used to focus waves onto a non-collaborating target, which amounts to perform conjugate beamforming without any pilot exchange.

A new preprint entitled Model-based learning for multi-antenna multi-frequency location-to-channel mapping just appeared on arXiv. It shows that a physically-inspired neural network can faithfully reconstruct channel responses in a given environment with a reasonable number of learnable weights.

Our preprint entitled Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting has just been accepted to IEEE Transactions on Wireless Communications. Congratulations to Taha for this solid piece of work!

A new preprint entitled Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media just appeared on arXiv. This is a joint work with Philipp del Hougne and his team, in which a physical model is used to perform conjugate beamforming without any pilot exchange.

A new preprint entitled Model-based Deep Learning for Beam Prediction based on a Channel Chart just appeared on arXiv. It shows that channel charting can be used to accelerate beam selection or precoding in cell-free massive MIMO systems.

A new preprint entitled Semi-Supervised End-to-End Learning for Integrated Sensing and Communications just appeared on arXiv. It shows that unlabelled data can greatly enhance the performance of end-to-end learned ISAC transceivers.

A new preprint entitled Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting just appeared on arXiv. It shows that the subcarriers and antennas can be optimized jointly to ease channel charting in a LoS setting.

A new preprint entitled Model-based Deep Learning for High-Dimensional Periodic Structures just appeared on arXiv. It shows that model-based learning using equivalent circuits can be leveraged to make the simulation of frequency selective surfaces (FSS) faster.