Optimization-Driven DRL Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks

Keyphrases

• Optimization Approach 100%
• Beamforming Design 100%
• Learning-based 100%
• Intelligent Reflecting Surface 100%
• Deep Reinforcement Learning (deep RL) 100%
• Smart Jamming Attacks 100%
• Integrated Satellite-terrestrial Networks 100%
• Anti-jamming 28%
• Deep Reinforcement Learning Algorithm 28%
• Communication Strategies 14%
• Optimization Methods 14%
• Nonconvex Optimization 14%
• Surface Phase 14%
• Phase Shift 14%
• System Performance 14%
• Learning Approaches 14%
• Learning Rate 14%
• Relaxation Method 14%
• Signal-to-interference Ratio 14%
• Optimization Module 14%
• Anti-jamming Performance 14%
• Model Efficiency 14%
• Model Optimization 14%
• Jammer 14%
• Beamformer 14%
• Legitimate User 14%
• Communication Performance 14%
• Programming Algorithm 14%
• Sharing Scheme 14%
• Second-order Cone Programming 14%
• Model Learning 14%
• Satellite Network 14%
• Model Robustness 14%
• Jointly Optimization 14%
• Spectrum Sharing 14%
• Terrestrial Networks 14%
• Jamming Interference 14%
• Jamming Model 14%
• Semidefinite Relaxation 14%
• Weighted Sum Rate 14%
• Anti-jamming Communication 14%
• System Communication 14%
• Multi-antenna 14%
• Smart Jammer 14%

Computer Science

• Deep Reinforcement Learning 100%
• Reflecting Surface 100%
• Satellite Network 100%
• Reinforcement Learning 28%
• Optimization Technique 14%
• Systems Performance 14%
• Legitimate User 14%
• Signal-to-Noise plus Interference Ratio 14%
• Convex Optimization 14%
• sum rate 14%
• spectrum sharing 14%
• Learning Approach 14%
• Antennas 14%
• Learning Rate 14%
• Communication Strategies 14%
• Terrestrial Network 14%