3D Aerial Vehicle Base Station (UAV-BS) Position Planning based on Deep Q-Learning for Capacity Enhancement of Users With Different QoS Requirements.
Jianli GuoYonghua HuoXiujuan ShiJiahui WuPeng YuLei FengWenjing LiPublished in: IWCMC (2019)
Keyphrases
- base station
- aerial vehicles
- ad hoc networks
- qos requirements
- quality of service
- wireless networks
- path planning
- mobile networks
- wireless sensor networks
- ip networks
- data transmission
- sensor networks
- energy consumption
- energy efficient
- communication networks
- mobile users
- unmanned aerial vehicles
- routing algorithm
- multi hop
- network resources
- routing protocol
- sensor nodes
- resource management
- user interaction
- end to end
- cooperative
- user interface
- reinforcement learning
- mobile applications
- end users
- real time
- multi agent
- multiple targets
- information sources
- location information
- management system
- mobile robot
- multimedia
- wifi
- state space
- intelligent systems
- context aware
- scheduling algorithm
- resource allocation
- user experience