Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning

2021 IEEE International Conference on Communications Workshops (ICC Workshops)(2021)

Cited 5|Views7
No score
Unmanned aerial vehicles (UAVs) are expected to be an integral part of wireless networks. In this paper, we aim to find collision-free paths for multiple cellular-connected UAVs, while satisfying requirements of connectivity with ground base stations (GBSs) in the presence of a dynamic jammer. We first formulate the problem as a sequential decision making problem in discrete domain, with connectiv...
Translated text
Key words
Navigation,Conferences,Supervised learning,Interference,Reinforcement learning,Real-time systems,Trajectory
AI Read Science
Must-Reading Tree
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined