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20242026
most citedGenerating High Dimensional User-Specific Wireless Channels using Diffusion Models

1 citations · 1 across the 6 of their papers we have counts for

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6 papers

cs.IT2026

Structured Masked Diffusion for Shared-Codebook Unsourced Random Access Decoding

Taekyun Lee, Jiyoung Yun, Jeffrey G. Andrews +1

In shared-codebook unsourced random access (URA), a receiver must recover an unordered set of messages from simultaneous transmissions. Its outer decoder assembles ambiguous slot-w…

eess.SP2026

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…

cs.NI2025

Grid-Supervised Flow Refinement for Wireless Localization

Taekyun Lee, Tommaso Balercia, Heasung Kim +2

This paper introduces FlowLoc, a framework for high-accuracy user equipment positioning from channel state information observed at multiple base stations. The input is a magnitude…

eess.SP2025

Satellite Selection for In-Band Coexistence of Dense LEO Networks

Eunsun Kim, Ian P. Roberts, Taekyun Lee +1

We study spectrum sharing between two dense low-earth orbit (LEO) satellite constellations, an incumbent primary system and a secondary system that must respect interference protec…

cs.IT2025

Generative Diffusion Model-based Compression of MIMO CSI

Heasung Kim, Taekyun Lee, Hyeji Kim +6

While neural lossy compression techniques have markedly advanced the efficiency of Channel State Information (CSI) compression and reconstruction for feedback in MIMO communication…

cs.IT2024★ 1 cited

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…