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20222024
most citedLearning Decentralized Power Control in Cell-Free Massive MIMO Networks

19 citations · 21 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.SP2024

Sequential In-Network Processing for Cell-Free Massive MIMO with Capacity-Constrained Parallel Radio Stripes

Sangwon Jo, Hoon Lee, Seok-Hwan Park

To ensure coherent signal processing across distributed Access Points (APs) in Cell-Free Massive Multiple-Input Multiple-Output (CF-mMIMO) systems, a fronthaul connection between t…

eess.SP2024

Generalized Reduced-WMMSE Approach for Cell-Free Massive MIMO With Per-AP Power Constraints

Wonsik Yoo, Daesung Yu, Hoon Lee +1

The optimization of cooperative beamforming vectors in cell-free massive MIMO (mMIMO) systems is presented where multi-antenna access points (APs) support downlink data transmissio…

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.SP202319 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…