Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications
Author:
Affiliation:
1. Department of Computer and Information Science, Northumbria University, Newcastle upon Tyne, NE1 8ST, U.K.
2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, U.K.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/8892389/9306008/09306013.pdf?arnumber=9306013
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3. Collaborative Caching and Power Allocation for Multiple UAV-assisted Emergency Communication Network with Parameterized Reinforcement Learning;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
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