66 citations · 89 across the 6 of their papers we have counts for
6 papers
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…
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…
Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks
Daesung Yu, Hoon Lee, Seok-Hwan Park +1
Cooperative beamforming across access points (APs) and fronthaul quantization strategies are essential for cloud radio access network (C-RAN) systems. The nonconvexity of the C-RAN…
Deep Learning Methods for Universal MISO Beamforming
Junbeom Kim, Hoon Lee, Seung-Eun Hong +1
This letter studies deep learning (DL) approaches to optimize beamforming vectors in downlink multi-user multi-antenna systems that can be universally applied to arbitrarily given…
On the Capacity Regions of Cloud Radio Access Networks with Limited Orthogonal Fronthaul
Shouvik Ganguly, Seung-Eun Hong, Young-Han Kim
Uplink and downlink cloud radio access networks are modeled as two-hop K-user L-relay networks, whereby small base-stations act as relays for end-to-end communications and are conn…
Load-Modulated Single-RF MIMO Transmission for Spatially Multiplexed QAM Signals
Seung-Eun Hong, Kyoung-Sub Oh
Today, MIMO has become an indispensable scheme for providing significant spectral efficiency in wireless communication and for future wireless system, recently, it goes to two extr…