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: CoRR (2022)
Keyphrases
- sensor nodes
- access network
- power control
- base station
- multi hop
- cellular networks
- wireless sensor networks
- energy efficient
- reinforcement learning
- sensor networks
- energy consumption
- cognitive radio
- data transmission
- wireless communication
- energy efficiency
- wireless channels
- mobile terminals
- multi channel
- resource management
- mobile networks
- wireless mesh networks
- bandwidth allocation
- switched networks
- power consumption
- multimedia services
- multimedia