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

1 citations · 2 across the 8 of their papers we have counts for

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8 papers

eess.SP2026

Load Balancing in Multi-Shell LEO Satellite Networks with Successive Interference Cancellation

Seyong Kim, Jeonghun Park, Jeffrey G. Andrews

Multi-shell low Earth orbit (LEO) networks can increase service opportunities, but altitude-dependent propagation can concentrate traffic on lower shells and create strong inter-sh…

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★ 1 cited

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)…

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…

cs.IT2024

Pose-aware 3D Beamwidth Adaptation for Mobile Extended Reality

Alperen Duru, Mohammad Mozaffari, Mehrnaz Afshang +4

This paper presents a sensor-aided pose-aware beamwidth adaptation design for a conceptual extended reality (XR) Head-Mounted Display (HMD) equipped with a 2D planar array. The bea…

cs.IT2024

Site-Specific Beam Alignment in 6G via Deep Learning

Yuqiang Heng, Yu Zhang, Ahmed Alkhateeb +1

Beam alignment (BA) in modern millimeter wave standards such as 5G NR and WiGig (802.11ay) is based on exhaustive and/or hierarchical beam searches over pre-defined codebooks of wi…