1 citations · 2 across the 4 of their papers we have counts for
4 papers
Channel Geometry Preserving Generative Models for CSI Feedback in MU-MIMO
Juseong Park, Taekyun Lee, Foad Sohrabi +1
Under limited feedback, channel state information (CSI) reconstruction for multiuser multiple-input multiple-output (MU-MIMO) precoding is challenging, since the precoder should pr…
Self-Nomination: Deep Learning for Decentralized CSI Feedback Reduction in MU-MIMO Systems
Juseong Park, Foad Sohrabi, Jinfeng Du +1
This paper introduces a novel deep learning-based user-side feedback reduction framework, termed self-nomination. The goal of self-nomination is to reduce the number of users (UEs)…
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
Taekyun Lee, Juseong Park, Hyeji Kim +1
Deep neural network (DNN)-based algorithms are emerging as an important tool for many physical and MAC layer functions in future wireless communication systems, including for large…
End-to-End Deep Learning for TDD MIMO Systems in the 6G Upper Midbands
Juseong Park, Foad Sohrabi, Amitava Ghosh +1
This paper proposes and analyzes novel deep learning methods for downlink (DL) single-user multiple-input multiple-output (SU-MIMO) and multi-user MIMO (MU-MIMO) systems operating…