Applying multi-agent Q-learning scheme in cognitive wireless mesh networks for green communications

Keyphrases

• Secondary User 100%
• Learning Scheme 100%
• Multi-agent Q-learning 100%
• Cognitive Wireless Mesh Networks 100%
• Green Communication 100%
• Cooperative Game 50%
• Learning Process 25%
• Energy Efficiency 25%
• Signal-to-interference Ratio 25%
• Numerical Experiments 25%
• Nonoperative 25%
• Quality of Service Guarantee 25%
• Q-learning 25%
• Matching Problem 25%
• Frequency Resource 25%
• Number of Clusters 25%
• Q-function 25%
• Mean Square Error 25%
• Learning Context 25%
• Joint Action 25%
• Interference Environment 25%
• Action Sets 25%
• Cooperative multi-agent Learning 25%
• Power Assignment 25%
• Transmit Power 25%
• Error Constraint 25%

Computer Science

• Wireless Mesh Network 100%
• Green Communication 100%
• multi agent 100%
• Secondary User 100%
• Learning Scheme 100%
• Learning Process 25%
• Signal-to-Noise plus Interference Ratio 25%
• Quality of Service 25%
• Frequency Resource 25%
• Energy Efficiency 25%
• Service Requirement 25%
• Action-Set 25%
• multiagent learning 25%

INIS

• learning 100%
• cooperatives 60%
• stochastic processes 40%
• power 40%
• interference 40%
• efficiency 20%
• resources 20%
• environment 20%
• hybrids 20%
• constraints 20%
• errors 20%
• noise 20%
• signals 20%
• energy efficiency 20%
• algorithms 20%
• quantum entanglement 20%
• assignments 20%
• q-value 20%