6 papers
Structured Masked Diffusion for Joint Multiuser Decoding
Taekyun Lee, Jiyoung Yun, Jeffrey G. Andrews +1
In joint multiuser decoding, a receiver recovers a set of messages from a single noisy aggregate of many simultaneous transmissions. Classical decoders rely on rule-based mechanism…
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…
DiffLoc: Diffusion Model-Based High-Precision Positioning for 6G Networks
Taekyun Lee, Tommaso Balercia, Heasung Kim +2
This paper introduces a novel framework for high-accuracy outdoor user equipment (UE) positioning that applies a conditional generative diffusion model directly to high-dimensional…
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…
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…
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…