Deep Reinforcement Learning for Resource Allocation in Multi-Band Optical Networks.
Abdennour Ben TerkiJoão PedroAntónio EiraAntonio NapoliNicola SamboPublished in: ONDM (2024)
Keyphrases
- resource allocation
- multi band
- optical networks
- reinforcement learning
- multispectral
- resource management
- resource allocation problems
- optimal resource allocation
- wavelength division multiplexing
- allocation problems
- frequency band
- wireless networks
- hyperspectral
- scarce resources
- optimal policy
- resource allocation decisions
- routing and wavelength assignment
- machine learning
- reinforcement learning algorithms
- spatial frequency
- learning algorithm
- resource consumption
- markov decision processes
- remote sensing
- texture segmentation
- high frequency
- multiagent systems
- sensor networks
- state space
- computational complexity
- resource allocation and scheduling