Graph Neural Network-Based Joint Beamforming for Hybrid Relay and Reconfigurable Intelligent Surface Aided Multiuser Systems

Keyphrases

• Neural Network 100%
• Multi-user System 100%
• Joint Beamforming 100%
• Reconfigurable Intelligent Surface 100%
• Graph Neural Network 100%
• Hybrid Relay 100%
• Hybrid Reconfigurable 100%
• Base Station 66%
• Decode-and-forward Relay 66%
• Superior Performance 33%
• Transmission System 33%
• Number of Users 33%
• Neural Network Model 33%
• Joint Optimization 33%
• Half-duplex 33%
• Sum Rate 33%
• Multiple-input multiple-output System 33%
• Channel Variation 33%
• Graph Representation 33%
• Design Problems 33%
• Single Antennas 33%
• Multiple Antennas 33%
• Alternating Optimization Algorithm 33%
• Computationally Intensive 33%
• Complex Design 33%
• Relational Information 33%
• Relay Beamforming 33%
• Active Beamforming 33%
• Passive Beamforming 33%
• Channel Imperfections 33%
• Phase Graph 33%

Engineering

• Joints (Structural Components) 100%
• Multiuser 100%
• Beamforming 100%
• Basestation 50%
• Relational 25%
• Network Model 25%
• Input Multiple 25%
• Single Output 25%
• Output System 25%
• Design Problem 25%
• Single Antenna 25%
• Multiple Antenna 25%
• Send Data 25%
• Embedded Information 25%