When Spectrum Sharing in Cognitive Networks Meets Deep Reinforcement Learning: Architecture, Fundamentals, and Challenges.
Jiangbo SiRui HuangZan LiHang HuYuntao JinJulian ChengNaofal Al-DhahirPublished in: IEEE Netw. (2024)
Keyphrases
- reinforcement learning
- future internet
- cognitive radio
- lessons learned
- learning capabilities
- key issues
- management system
- cognitive models
- information processing
- network structure
- machine learning
- design principles
- software architecture
- complex networks
- learning process
- function approximation
- real time
- autonomous learning
- cognitive processes
- social networks
- cellular networks
- packet switching
- complex systems
- model tracing
- differentiated services
- database systems
- wireless technologies
- multi agent
- temporal difference
- action selection
- model free
- data sharing
- optimal control
- multi agent systems
- state space
- optimal policy