Deep reinforcement learning-based resource allocation for D2D communications in heterogeneous cellular networks.
Yuan ZhiJie TianXiaofang DengJingping QiaoDianjie LuPublished in: Digit. Commun. Networks (2022)
Keyphrases
- resource allocation
- cellular networks
- reinforcement learning
- wireless networks
- mobile users
- grid environment
- long term evolution
- resource management
- optimal resource allocation
- resource allocation problems
- base station
- allocation problems
- optimal policy
- communication systems
- mobile networks
- state space
- communication networks
- multi hop
- reinforcement learning algorithms
- resource allocation decisions
- learning algorithm
- wifi
- resource consumption
- rfid tags
- scarce resources
- mobile phone
- multi agent
- learning agents
- supply chain management
- distributed resource allocation