A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control.
Ziru ChenRan ZhangLin X. CaiYu ChengYong LiuPublished in: ICC (2022)
Keyphrases
- access network
- power control
- cellular networks
- reinforcement learning
- wireless networks
- multi hop
- cognitive radio
- base station
- energy efficient
- resource management
- wireless mesh networks
- power consumption
- bandwidth allocation
- wireless sensor networks
- multi channel
- data transmission
- wireless communication
- end to end
- mobile terminals
- mobile users
- power management
- ad hoc networks
- mobile networks
- switched networks
- routing protocol