124 citations · 360 across the 25 of their papers we have counts for
4 papers · 1 filter
Deep Learning for Multi-User MIMO Systems: Joint Design of Pilot, Limited Feedback, and Precoding
Jeonghyeon Jang, Hoon Lee, Il-Min Kim +1
In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have be…
Decentralized Computation Offloading With Cooperative UAVs: Multi-Agent Deep Reinforcement Learning Perspective
Sangwon Hwang, Hoon Lee, Juseong Park +1
Limited computing resources of internet-of-things (IoT) nodes incur prohibitive latency in processing input data. This triggers new research opportunities toward task offloading sy…
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…
Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission
Seok-Hwan Park, Hoon Lee
This work studies federated learning (FL) over a fog radio access network, in which multiple internet-of-things (IoT) devices cooperatively learn a shared machine learning model by…