Energy-Efficient User Association and Resource Allocation for Decentralized Mutual Learning

Keyphrases

• Resource Allocation 100%
• Energy Efficient 100%
• Mutual Learning 100%
• User Association 100%
• Knowledge Sharing 66%
• Mobile Devices 33%
• Energy Consumption 33%
• Numerical Results 33%
• Inner Layer 33%
• Two-layer 33%
• Resource Allocation Problem 33%
• Iterative Algorithm 33%
• Communication Energy Consumption 33%
• Communication Latency 33%
• Power Communication 33%
• Fast Convergence 33%
• Communication Resources 33%
• Power Bandwidth 33%
• Nonconvex Optimization 33%
• Optimal Allocation 33%
• Learning Scenario 33%
• Sum-of-ratios Optimization 33%
• Mutual Learning Network 33%
• Particle Swarm Optimization 33%
• Bidirectional Device 33%
• Many-to-many 33%
• Association Strategy 33%
• Globally Optimal 33%
• Device-to-device (D2D) Communication 33%
• Energy Intelligence 33%

Computer Science

• Energy Efficient 100%
• Resource Allocation 100%
• Energy Consumption 100%
• Device-To-Device 50%
• Optimization Problem 50%
• Particle Swarm Optimization 50%
• Communication Latency 50%
• Allocation Problem 50%
• Learning Network 50%
• Fast Convergence 50%
• Share Knowledge 50%
• Communication Resource 50%
• Knowledge-Sharing 50%
• Convex Optimization 50%
• Iterative Algorithm 50%
• Mobile Device 50%
• Power Bandwidth 50%
• Optimal Allocation 50%

INIS

• resources 100%
• devices 100%
• energy 100%
• learning 100%
• allocations 100%
• algorithms 100%
• layers 75%
• optimization 75%
• energy consumption 50%
• efficiency 25%
• iterative methods 25%
• convergence 25%
• power 25%
• constraints 25%
• particles 25%