Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning.
Jiadong YuYang LiXiaolan LiuBo SunYuan WuDanny H. K. TsangPublished in: ICC (2023)
Keyphrases
- energy efficient
- multi agent reinforcement learning
- wireless sensor networks
- energy consumption
- sensor networks
- energy efficiency
- data dissemination
- reinforcement learning
- mobile devices
- multi agent
- mobile phone
- multi agent learning
- base station
- learning agents
- routing protocol
- routing algorithm
- stochastic games
- data mining
- multi core architecture
- mobile environments
- data transmission
- mobile computing
- mobile users
- response time
- computational intelligence