124 citations · 360 across the 25 of their papers we have counts for
5 papers · 1 filter
Deep Learning Based Resource Assignment for Wireless Networks
Minseok Kim, Hoon Lee, Hongju Lee +1
This paper studies a deep learning approach for binary assignment problems in wireless networks, which identifies binary variables for permutation matrices. This poses challenges i…
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…
Learning Autonomy in Management of Wireless Random Networks
Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek
This paper presents a machine learning strategy that tackles a distributed optimization task in a wireless network with an arbitrary number of randomly interconnected nodes. Indivi…
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks
Hoon Lee, Junbeom Kim, Seok-Hwan Park
Fog radio access networks (F-RANs), which consist of a cloud and multiple edge nodes (ENs) connected via fronthaul links, have been regarded as promising network architectures. The…
Learning Robust Beamforming for MISO Downlink Systems
Junbeom Kim, Hoon Lee, Seok-Hwan Park
This paper investigates a learning solution for robust beamforming optimization in downlink multi-user systems. A base station (BS) identifies efficient multi-antenna transmission…