Performance analysis of artificial neural network-based learning schemes for cognitive radio systems in LTE-UL

Keyphrases

• Performance Analysis 100%
• Artificial Neural Network 100%
• Networked Learning 100%
• Neural Network 100%
• Cognitive Radio 100%
• Cognitive Radio System 100%
• Cognitive Engine 100%
• Learning Scheme 100%
• Radio Configuration 100%
• Performance Evaluation 50%
• Response Time 50%
• Configuration Settings 50%
• Promising Technology 50%
• User Requirements 50%
• Radio Resources 50%
• Parameter Configuration 50%
• Structure Complexity 50%
• Timing Accuracy 50%
• Optimal Configuration 50%
• Electromagnetic Environment 50%
• Communication Performance 50%
• Model Complexity 50%
• Artificial Intelligence Techniques 50%
• User Configuration 50%
• Training Samples 50%
• LTE Uplink 50%
• ANN Model 50%

Engineering

• Performance Analysis 100%
• Cognitive Radio System 100%
• Learning Scheme 100%
• Artificial Neural Network 100%
• Cognitive Radio 50%
• Cognitive Engine 50%
• Response Time 25%
• Limiting Factor 25%
• User Requirement 25%
• Primary User 25%
• Radio Resource 25%
• Artificial Intelligence Technique 25%
• Complex Model 25%
• Secondary User 25%