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20122026
most citedJoint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks

309 citations · 435 across the 34 of their papers we have counts for

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17 papers · 1 filter

eess.SP2026

Fronthaul Compression for Uplink Cloud-RAN with Finite-Alphabet Inputs: A Reverse Mercury/Waterfilling Approach

Subin Shin, Jaehoon Lee, Seok-Hwan Park +1

The cloud radio access network (C-RAN) mitigates inter-cell interference by jointly processing the observations of distributed remote units (RUs) at a centralized unit (CU), but li…

eess.SP2026

Test-Time Scalable AI-RAN: Inference Time Allocation for Cell-Free MIMO

Seonghoon Yoo, Sangwoo Park, Seok-Hwan Park +1

Artificial intelligence-enabled radio access networks (AI-RANs) are envisioned to consist of multiple AI-based modules, potentially developed independently by different vendors. In…

eess.SP2024

Accelerating Multi-UAV Collaborative Sensing Data Collection: A Hybrid TDMA-NOMA-Cooperative Transmission in Cell-Free MIMO Networks

Eunhyuk Park, Junbeom Kim, Seok-Hwan Park +2

This work investigates a collaborative sensing and data collection system in which multiple unmanned aerial vehicles (UAVs) sense an area of interest and transmit images to a cloud…

eess.SP2023

Joint Precoding and Fronthaul Compression for Cell-Free MIMO Downlink With Radio Stripes

Sangwon Jo, Hoon Lee, Seok-Hwan Park

A sequential fronthaul network, referred to as radio stripes, is a promising fronthaul topology of cell-free MIMO systems. In this setup, a single cable suffices to connect access…

eess.SP2023★ 19 cited

Learning Decentralized Power Control in Cell-Free Massive MIMO Networks

Daesung Yu, Hoon Lee, Seung-Eun Hong +1

This paper studies learning-based decentralized power control methods for cell-free massive multiple-input multiple-output (MIMO) systems where a central processor (CP) controls ac…

eess.SP2022

A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization

Junbeom Kim, Hoon Lee, Seung-Eun Hong +1

Deep learning (DL) techniques have been intensively studied for the optimization of multi-user multiple-input single-output (MU-MISO) downlink systems owing to the capability of ha…