Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI

no code implementations • 21 Jan 2024 • Rafid Umayer Murshed, Md Saheed Ullah, Mohammad Saquib, Moe Z. Win

This paper investigates the potential of contrastive learning in 6G ultra-massive multiple-input multiple-output (UM-MIMO) communication systems, specifically focusing on hybrid beamforming under imperfect channel state information (CSI) conditions at THz.

Contrastive Learning

Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking

no code implementations • 26 Nov 2021 • Domenico Gaglione, Paolo Braca, Giovanni Soldi, Florian Meyer, Franz Hlawatsch, Moe Z. Win

Here, we develop a statistical model and algorithm for tracking an unknown number of targets based on the probabilistic fusion of observations from two classes of data sources.

Cooperative Localization and Multitarget Tracking in Agent Networks with the Sum-Product Algorithm

no code implementations • 5 Aug 2021 • Mattia Brambilla, Domenico Gaglione, Giovanni Soldi, Rico Mendrzik, Gabriele Ferri, Kevin D. LePage, Monica Nicoli, Peter Willett, Paolo Braca, Moe Z. Win

This paper addresses the problem of multitarget tracking using a network of sensing agents with unknown positions.

Cramér-Rao Bounds for Near-Field Localization

no code implementations • 30 Apr 2021 • Andrea de Jesus Torres, Antonio Alberto D'Amico, Luca Sanguinetti, Moe Z. Win

Multiple antenna arrays play a key role in wireless networks for communications but also localization and sensing.