Improving energy detection in cognitive radio systems using machine learning

Keyphrases

• Cognitive Radio System 100%
• Machine Learning Models 50%
• Weighted KNN 50%
• Energy Characteristics 50%
• Electromagnetic Spectrum 50%
• Machine Learning Techniques 50%
• Energy Detector 50%
• Secondary User 50%
• Cognitive Radio 50%
• Dynamic Spectrum Management 50%
• Low Signal-to-noise Ratio 50%
• Complex Tree 50%
• Underutilization 50%
• Spectrum Sensing Algorithm 50%

Engineering

• Dynamic Spectrum Management 33%
• Cognitive Radio 33%