Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning.
Amna MugheesMohammad TahirMuhammad Aman SheikhAngela AmphawanKian Meng YapAbdul AhadKazem ChamranPublished in: Phys. Commun. (2023)
Keyphrases
- resource allocation
- energy efficient
- reinforcement learning
- multi agent
- wireless sensor networks
- sensor networks
- energy consumption
- resource management
- optimal resource allocation
- cooperative
- multi hop
- reinforcement learning algorithms
- state space
- energy efficiency
- allocation strategies
- base station
- resource allocation problems
- multi agent systems
- multi core architecture
- markov decision processes
- intelligent agents
- optimal policy
- resource allocation decisions
- multiagent systems
- autonomous agents
- learning algorithm
- learning agents
- scarce resources
- distributed resource allocation
- machine learning
- cluster head
- distributed systems
- single agent
- learning capabilities
- allocation problems
- multiple agents
- power consumption
- transfer learning
- real time
- resource allocation and scheduling