4 papers
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…
A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver
Hoon Lee, Tony Q. S. Quek, Sang Hyun Lee
This paper studies a deep learning (DL) framework for the design of binary modulated visible light communication (VLC) transceiver with universal dimming support. The dimming contr…
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management
Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek
This paper studies a deep learning (DL) framework to solve distributed non-convex constrained optimizations in wireless networks where multiple computing nodes, interconnected via…
Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications
Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek +1
Optical wireless communication (OWC) is a promising technology for future wireless communications owing to its potentials for cost-effective network deployment and high data rate.…