Deep-Reinforcement-Learning-Based Resource Allocation for Content Distribution in Fog Radio Access Networks.
Chao FangHang XuYihui YangZhaoming HuShanshan TuKaoru OtaZheng YangMianxiong DongZhu HanF. Richard YuYunjie LiuPublished in: IEEE Internet Things J. (2022)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- resource allocation problems
- allocation strategies
- game theory
- optimal resource allocation
- resource requirements
- scarce resources
- machine learning
- wireless communication
- allocation problems
- allocate resources
- resource allocation decisions
- resource consumption
- market equilibrium
- resource allocation and scheduling
- function approximation
- multi agent
- learning algorithm
- grid environment
- optimal policy
- state space
- probability distribution
- dynamic programming
- decision making