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: INFOCOM Workshops (2023)
Keyphrases
- resource allocation
- reinforcement learning
- multi agent
- resource management
- resource allocation problems
- decentralized decision making
- allocation problems
- function approximation
- resource requirements
- game theory
- optimal resource allocation
- resource allocation decisions
- multi agent systems
- multiagent systems
- allocation strategies
- market equilibrium
- resource allocation and scheduling
- allocate resources
- learning agents
- resource consumption
- grid environment
- optimal policy
- markov decision processes
- combinatorial auctions
- multiple agents
- social welfare
- model free
- resource availability
- temporal difference
- resource usage
- power allocation
- dynamic resource allocation
- reinforcement learning algorithms
- scarce resources
- intelligent agents
- state space
- learning algorithm