Scaling Up Energy-Aware Multiagent Reinforcement Learning for Mission-Oriented Drone Networks With Individual Reward
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3511253
Abstract: Multiagent reinforcement learning (MARL) has shown wide applicability in collaborative systems, such as autonomous driving and smart cities for its ability of learning through interaction. With the recent development of drone networks, researchers have also… read more here.
Keywords: individual reward; energy; reward; drone networks ... See more keywords
Robust Beam Control for Terahertz Drone Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3581533
Abstract: Ensuring reliable, high-capacity links in Terahertz (THz) drone networks is challenging due to the highly directional nature of THz signal transmission, which utilizes narrow pencil-like beams to mitigate high path loss. This article investigates the… read more here.
Keywords: robust beam; beam; drone; drone networks ... See more keywords
Beam Learning in MmWave/THz-band Drone Networks Under In-Flight Mobility Uncertainties
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2020.3034064
Abstract: This paper focuses on designing high-data-rate wireless communications for drone networks in the mmWave and terahertz (THz) frequency bands. MmWave/THz-band communications have been envisioned as key technologies to achieve ultra broadband wireless links through beamforming… read more here.
Keywords: mobility uncertainties; thz band; mobility; drone networks ... See more keywords