Q-Learning Aided Resource Allocation and Environment Recognition in LoRaWAN With CSMA/CA.
Naoki AiharaKoichi AdachiOsamu TakyuMai OhtaTakeo FujiiPublished in: IEEE Access (2019)
Keyphrases
- resource allocation
- resource management
- cellular automata
- optimal resource allocation
- resource allocation and scheduling
- resource allocation problems
- dynamic resource allocation
- reinforcement learning
- allocation problems
- allocate resources
- allocation strategies
- cooperative
- game theory
- real time
- mobile robot
- combinatorial auctions
- resource requirements
- resource allocation decisions
- cloud computing environment
- social welfare
- learning algorithm
- resource usage
- computing environments
- dynamic environments
- scarce resources
- multi agent
- distributed resource allocation
- learning agent
- function approximation
- negotiation mechanism
- resource availability
- autonomous agents
- load balancing
- dynamic programming