activity
20192021
most citedIntegrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks

10 citations · 11 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IT20211 cited

Joint Association and Resource Allocation for Multi-Hop Integrated Access and Backhaul (IAB) Network

Byungju Lim, Ju-Hyung Lee, Jae-Hong Kwon +1

Integrated access and backhaul (IAB) network is envisioned as a novel network architecture for increasing the network capacity and coverage. To facilitate the IAB network, the appr…

cs.NI2020

Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks

Ju-Hyung Lee, Jihong Park, Mehdi Bennis +1

A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs) and burgeoning unmanned aerial vehicles (UAVs) are promising enablers for high-speed and long-distance comm…

cs.NI202010 cited

Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks

Ju-Hyung Lee, Jihong Park, Mehdi Bennis +1

A mega-constellation of low-earth orbit (LEO) satellites has the potential to enable long-range communication with low latency. Integrating this with burgeoning unmanned aerial veh…

cs.IT2020

Throughput Maximization of Mixed FSO/RF UAV-aided Mobile Relaying with a Buffer

Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko +1

In this paper, we consider an unmanned aerial vehicle (UAV) aided mobile relaying system under a buffer constraint. We propose a new relaying protocol employing mixed free-space op…

cs.IT2019

A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time

Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko +1

In this work, we address the trajectory optimization of a fixed-wing unmanned aerial vehicle (UAV) using free space optical communication (FSOC). Here, we focus on maximizing the f…