UAV-BS Trajectory Optimization Under Coverage, Backhaul and QoS Constraints Using Q-Learning
Author:
Affiliation:
1. TOBB University of Economics and Technology,Dept.of Electrical and Electronics Eng.,Ankara,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9900485/9900511/09900816.pdf?arnumber=9900816
Reference13 articles.
1. Deep Q-Learning for Two-Hop Communications of Drone Base Stations
2. Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning
3. Optimal LAP Altitude for Maximum Coverage
4. On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users With Guaranteed Data Rates
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1. Joint Optimization of User Scheduling, Flight Path and Power Allocation in A UAV-Enabled Communication System;2023 16th International Conference on Signal Processing and Communication System (ICSPCS);2023-09-06
2. Energy-Efficient Multimedia Services with UAV-BS Intelligent Trajectory Planning for Emergency Communications in 6G Networks;2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2023-06-14
3. A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning;IEEE Access;2023
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