Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach.
Jing WuJuzhen WangQimei ChenZenghui YuanPan ZhouXiumin WangCai FuPublished in: IEEE Trans. Netw. Sci. Eng. (2021)
Keyphrases
- resource allocation
- vehicular networks
- reinforcement learning
- multi agent
- propagation model
- routing scheme
- network coding
- resource management
- optimal resource allocation
- resource allocation problems
- reinforcement learning algorithms
- response time
- multiagent systems
- learning agents
- communication systems
- learning algorithm
- multi agent systems
- packet scheduling
- single agent
- routing algorithm
- wireless networks
- intelligent agents
- state space
- wireless sensor networks
- multiple description coding
- wireless communication
- communication networks
- directed graph
- quality of service