Resource Allocation in Uplink NOMA Systems: A Hybrid-Decision-Based Multi-Agent Deep Reinforcement Learning Approach.
Xianzhong XieMin LiZhaoyuan ShiHelin YangQian HuangZehui XiongPublished in: IEEE Trans. Veh. Technol. (2023)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- resource usage
- resource requirements
- resource management
- decision making
- resource allocation decisions
- resource allocation problems
- allocation problems
- allocation strategies
- machine learning
- multiagent systems
- dynamic resource allocation
- learning agents
- scarce resources
- optimal resource allocation
- intelligent agents
- decision makers
- management system
- state space
- distributed resource allocation
- resource allocation and scheduling
- grid environment
- reinforcement learning algorithms
- decision problems
- markov decision processes
- multi agent systems