Spectrum-Energy-Efficient Mode Selection and Resource Allocation for Heterogeneous V2X Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach.
Jinsong GuiLiyan LinXiaoheng DengLin CaiPublished in: IEEE/ACM Trans. Netw. (2024)
Keyphrases
- resource allocation
- energy efficient
- reinforcement learning
- multi agent
- mode selection
- wireless sensor networks
- sensor networks
- energy consumption
- resource management
- multi hop
- optimal resource allocation
- energy efficiency
- multi agent systems
- social welfare
- computer networks
- routing protocol
- single agent
- optimal allocation
- rate distortion
- state space
- routing algorithm
- complexity reduction
- power consumption
- network structure
- digital libraries
- unequal error protection
- peer to peer
- base station
- wireless communication
- communication networks