Deep Reinforcement Learning-based Resource Allocation for 5G Machine-type Communication in Active Distribution Networks with Time-varying Interference.
Qiyue LiHong ChengYangzhao YangHaochen TangJunbo WangGuojun LuoWei SunPublished in: Mob. Networks Appl. (2022)
Keyphrases
- resource allocation
- distribution networks
- reinforcement learning
- resource management
- optimal resource allocation
- resource allocation problems
- allocation problems
- dynamic resource allocation
- resource allocation decisions
- resource availability
- allocation strategies
- resource usage
- scarce resources
- social welfare
- resource requirements
- distributed resource allocation
- machine learning
- long term evolution
- resource allocation and scheduling
- allocate resources
- optimal policy
- dynamic programming
- reinforcement learning algorithms
- lead time
- communication networks
- markov decision processes
- market equilibrium
- cooperative
- learning algorithm