AoI-Oriented Resource Allocation for NOMA-Based Wireless Powered Cognitive Radio Networks Based on Multi-Agent Deep Reinforcement Learning.
Tao HeYingsheng PengYong LiuHui SongPublished in: IEEE Access (2024)
Keyphrases
- resource allocation
- cognitive radio networks
- spectrum sensing
- reinforcement learning
- multi agent
- cognitive radio
- wireless communication
- power allocation
- resource management
- resource allocation problems
- multi agent systems
- state space
- optimal resource allocation
- wireless networks
- user centric
- single agent
- allocation problems
- resource allocation decisions
- learning agents
- optimal policy
- reinforcement learning algorithms
- multiagent systems
- learning algorithm
- cellular networks
- cross layer
- intelligent agents
- scarce resources
- multi hop
- wifi
- mobile ad hoc networks
- combinatorial auctions
- communication systems
- autonomous agents
- computer simulation