A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN.
Farhad RezazadehLanfranco ZanziFrancesco DevotiSergio Barrachina-MuñozEngin ZeydanXavier Costa-PérezJosep Mangues-BafalluyPublished in: CoRR (2023)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- resource allocation problems
- resource management
- optimal resource allocation
- allocation problems
- resource requirements
- scarce resources
- decentralized decision making
- intelligent agents
- cooperative
- game theory
- distributed resource allocation
- function approximation
- learning agents
- resource allocation decisions
- resource allocation and scheduling
- reinforcement learning algorithms
- learning algorithm
- multiagent systems
- multi agent systems
- negotiation mechanism
- allocation strategies
- resource availability
- dynamic resource allocation