Author

Jeonghun Park

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Preprint Sep 2026

Neural Kalman Filtering for Unknown Dynamics: Task-Aware Learning with a Koopman Backbone

Recent years have witnessed a growing interest in AI-aided Kalman filters. While emerging methodologies, such as KalmanNet, were shown to facilitate tracking in partially known state-space models, they are not directly applicable when the underlying dynamics is unknown. To overcome this limitation, we extend the Kalman...

Mintaek Oh, Jeonghun Park, Nir Shlezinger et al. · 0 citations

Preprint Sep 2026

Fronthaul Compression for Uplink Cloud-RAN with Finite-Alphabet Inputs: A Reverse Mercury/Waterfilling Approach

The cloud radio access network (C-RAN) mitigates inter-cell interference by jointly processing the observations of distributed remote units (RUs) at a centralized unit (CU), but limited fronthaul capacity forces each RU to compress its received signal. Under transform-compress-forward, an RU transforms its signal and q...

Su-Bin Shin, Jaeho Lee, Seok-Hwan Park et al. · 0 citations

Preprint Aug 2026

Digital Twin-Aided Prescreening for User Scheduling in MU-MIMO Downlink Systems

Digital Twin User pre-Screening (DiTUS), a digital-twin (DT)-aided framework that identifies promising users before instantaneous CSI acquisition, demonstrating that DT-based prescreening preserves substantial multiuser-diversity gains by identifying strong, spatially compatible users before acquiring effective-channel...

Namhyun Kim, Mahmoud Saad Abouamer, Jeonghun Park et al. · 0 citations