Reinforcement-Learning-Based Resource Allocation for Energy-Harvesting-Aided D2D Communications in IoT Networks.
Atefeh OmidkarAta KhaliliHa H. NguyenHossein ShafieiPublished in: IEEE Internet Things J. (2022)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- resource allocation problems
- optimal resource allocation
- resource requirements
- management system
- allocation problems
- allocation strategies
- function approximation
- scarce resources
- resource consumption
- markov decision processes
- combinatorial auctions
- state space
- grid environment
- allocate resources
- resource availability
- resource allocation decisions
- market equilibrium
- distributed resource allocation
- model free
- communication systems
- optimal policy
- cloud computing
- social welfare
- bidding strategies
- learning algorithm
- flow network
- dynamic resource allocation
- energy consumption
- learning process
- decision making