Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach.
Eunjin KimHyun-Ho ChoiHyungsub KimJeehyeon NaHowon LeePublished in: IEEE Access (2022)
Keyphrases
- multi agent reinforcement learning
- optimal resource allocation
- resource allocation
- multi agent
- multi agent systems
- reinforcement learning
- stochastic games
- traffic flow
- multi agent learning
- network traffic
- learning agents
- network structure
- traffic control
- neural network
- fuzzy logic
- expert systems
- artificial intelligence