Robust Chance-Constrained Secure Transmission for Cognitive Satellite-Terrestrial Networks

Keyphrases

• Approximate Solution 33%
• Bernstein Inequality 33%
• Chance-constrained 100%
• Channel State Information 33%
• Cognitive Satellite Terrestrial Networks 100%
• Computational Complexity 33%
• Eavesdropper 33%
• Gaussian Statistics 33%
• Inequality Constraints 33%
• Information Uncertainty 33%
• Inter-satellite Link 33%
• Interference Power 33%
• Leakage Signal 33%
• Network Architecture 33%
• Next-generation Communication Networks 33%
• Numerical Results 33%
• Outage 33%
• Probabilistic Constraints 66%
• Reformulation Techniques 33%
• Robust Beamforming 33%
• Robust Optimization Problem 33%
• S-procedure 33%
• Secure Beamforming 33%
• Secure Transmission 100%
• Signal-to-interference Ratio 66%
• Spectrum Scarcity 33%
• Stochastic Model 33%
• System Parameters 33%
• Terrestrial Base Station 33%
• Transmit Power 33%

Engineering

• Approximate Solution 33%
• Basestation 33%
• Beamforming 33%
• Channel State Information 33%
• Communication Network 33%
• Communication Satellite 33%
• Computational Complexity 33%
• Gaussians 33%
• Optimisation Problem 33%
• Outages 33%
• Probabilistic Constraint 33%
• Reformulation 33%
• S-Procedure 33%
• Signal-to-Interference-Plus-Noise Ratio 66%
• Stochastic Model 33%
• System Parameter 33%
• Terrestrial Network 100%
• Transmissions 100%

Computer Science

• Approximate Solution 33%
• Channel State Information 33%
• Communication Network 33%
• Computational Complexity 33%
• Interference Power 33%
• Network Architecture 33%
• Optimization Problem 33%
• Robust Optimization 33%
• Signal-to-Noise plus Interference Ratio 66%
• Stochastic Model 33%
• System Parameter 33%
• Terrestrial Network 100%