Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning.
Dick Carrillo MelgarejoJirí PokornýPavel SedaArun NarayananPedro H. J. NardelliMehdi RastiJiri HosekMilos SedaDemóstenes Z. RodríguezYevgeni KoucheryavyGustavo FraidenraichPublished in: IEEE Access (2022)
Keyphrases
- base station
- reinforcement learning
- wireless sensor networks
- wireless networks
- sensor networks
- energy consumption
- data transmission
- ad hoc networks
- energy efficient
- communication networks
- mobile users
- multi hop
- mobile networks
- mobile wireless
- function approximation
- sensor nodes
- optimal policy
- data gathering
- exploration exploitation tradeoff
- sensed data
- multi agent
- end to end
- wireless communication
- signal strength
- state space
- distributed databases
- energy efficiency
- learning algorithm
- computer networks