Beamforming and Load-Balanced User Association in RIS-Aided Systems via Graph Neural Networks

Engineering

• Balanced Load 100%
• Basestation 100%
• Beamforming 100%
• Simulation Result 50%
• Joints (Structural Components) 50%
• Multiuser 50%
• Channel State Information 50%
• Neural Network Approach 50%
• Surface Phase 50%
• Deep Neural Network 50%

Computer Science

• Load-Balanced 100%
• Graph Neural Network 100%
• Load Balancing 75%
• sum rate 50%
• Superior Performance 25%
• Neural Network Approach 25%
• Deep Neural Network 25%
• Channel State Information 25%
• Invariance Property 25%
• Phase Adjustment 25%

Keyphrases

• Permutation-equivariance 20%
• Variable Coupling 20%
• Violation Penalties 20%
• Permutation Invariance 20%
• Association Strategy 20%