4 papers · 1 filter
Neural Kalman Filtering for Unknown Dynamics: Task-Aware Learning with a Koopman Backbone
Mintaek Oh, Jeonghun Park, Nir Shlezinger +2
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 sta…
Scalable and Convergent Generalized Power Iteration Precoding for Massive MIMO Systems
Seunghyeong Yoo, Mintaek Oh, Jeonghun Park +2
In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with…
Hybrid Precoding Revisited: Low-Dimensional Subspace Perspective for MU-MIMO Systems
Mintaek Oh, Jinseok Choi
This letter presents a low-complexity hybrid precoding framework for multiuser multiple-input multiple-output (MIMO) systems by leveraging a low-dimensional subspace property. Unde…
Scalable Beamforming Design for Multi-RIS-Aided MU-MIMO Systems with Imperfect CSIT
Mintaek Oh, Jinseok Choi
This paper presents a scalable beamforming design for maximizing the spectral efficiency (SE) of multi-reconfigurable intelligent surface (RIS)-aided communications through joint o…