BiLSTM Based Reinforcement Learning for Resource Allocation and User Association in LTE-U Networks.
Zhikun LuoGuanding YuPublished in: Wirel. Pers. Commun. (2020)
Keyphrases
- resource allocation
- reinforcement learning
- resource allocation problems
- optimal resource allocation
- resource management
- scarce resources
- resource requirements
- distributed resource allocation
- market equilibrium
- allocation problems
- optimal policy
- multi agent
- allocation strategies
- allocate resources
- state space
- resource allocation decisions
- learning process
- long term evolution
- grid environment
- learning algorithm
- combinatorial auctions
- quality of service
- dynamic resource allocation