Reinforcement learning-based unmanned aerial vehicle trajectory planning for ground users' mobility management in heterogeneous networks.
Yasir UllahMardeni Bin RosleeSufian Mousa MitaniMuhammad SherazFarman AliAnwar Faizd OsmanMohamad Huzaimy JusohChilakala SudhamaniPublished in: J. King Saud Univ. Comput. Inf. Sci. (2024)
Keyphrases
- heterogeneous networks
- mobility management
- trajectory planning
- reinforcement learning
- unmanned aerial vehicles
- path planning
- motion planning
- link prediction
- learning algorithm
- robot manipulators
- multimedia services
- dynamic environments
- machine learning
- collaborative filtering
- obstacle avoidance
- communication networks
- co occurrence
- multiple types
- recommender systems
- user interaction
- wireless technologies
- computer vision