Generalized Likelihood-Ratio Enabled Machine Learning for UE Detection over Grant-free SCMA

Keyphrases

• User Equipment 100%
• Machine Learning 100%
• Generalized Likelihood Ratio Test 100%
• Grant-free 100%
• Equipment Detection 100%
• Data Retrieval 33%
• Equipment Status 33%
• Resource Element 33%
• Rayleigh 16%
• Detection Accuracy 16%
• Power Control 16%
• Control Mechanism 16%
• Convolutional Neural Network 16%
• High SNR 16%
• Channel Gain 16%
• Multiple Access Systems 16%
• Multiple Access 16%
• Network Scheme 16%
• Retrieval Practice 16%
• Detection Error Probability 16%
• Neural Network Structure 16%
• Detection Complexity 16%
• Soft Output 16%
• Status Detection 16%
• Correlation Characteristics 16%
• Time Correlation 16%
• Activeness 16%
• Amplitude Distortion 16%
• Deep Neural Network Classifier 16%
• Mismatch Resolution 16%
• Uplink Grant-free 16%
• Parallel CNN 16%
• Parallel Convolutional Neural Network 16%

Computer Science

• Machine Learning 100%
• Likelihood Ratio 100%
• Convolutional Neural Network 100%
• Detection Equipment 100%
• Multiple Access 50%
• Data Retrieval 50%
• Resource Element 50%
• Control Mechanism 25%
• Detection Accuracy 25%
• retrieval performance 25%
• Neural Network Architecture 25%
• Correlation Characteristic 25%
• Amplitude Distortion 25%