Deep Reinforcement Learning for Energy-Efficient Multi-Channel Transmissions in 5G Cognitive HetNets: Centralized, Decentralized and Transfer Learning Based Solutions.
Anastasios E. GiannopoulosSotirios T. SpantideasNikolaos C. KapsalisPanagiotis KarkazisPanagiotis TrakadasPublished in: IEEE Access (2021)
Keyphrases
- transfer learning
- multi channel
- energy efficient
- reinforcement learning
- wireless sensor networks
- mac protocol
- energy consumption
- peer to peer
- sensor networks
- knowledge transfer
- learning tasks
- data dissemination
- energy efficiency
- multi hop
- labeled data
- activity recognition
- data transmission
- learning algorithm
- base station
- active learning
- transfer knowledge
- data broadcast
- transferring knowledge
- routing protocol
- machine learning
- semi supervised learning
- cooperative
- collaborative filtering
- wireless communication
- routing algorithm
- learning process
- databases
- sensor nodes
- distributed systems
- text classification
- text categorization
- machine learning algorithms
- wireless mesh networks
- data streams
- channel assignment