2 papers
eess.SP2026
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
Zhilin Fu, Sangmin Kim, Sangwon Hwang +4
In this paper, we study the power allocation for an integrated sensing and communication (ISAC) system which tracks a mobile target. We first model the problem as a Markov decision…
cs.IT2024
Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks
Mintae Kim, Hoon Lee, Sangwon Hwang +2
This paper presents a cooperative multi-agent deep reinforcement learning (MADRL) approach for unmmaned aerial vehicle (UAV)-aided mobile edge computing (MEC) networks. An UAV with…