Machine Learning in RIS-Assisted NOMA IoT Networks

Engineering

• Non-Orthogonal Multiple Access 100%
• Learning System 100%
• Internet-Of-Things 100%
• Deep Reinforcement Learning 100%
• Reconfigurable Intelligent Surface 100%
• Deep Learning Method 80%
• Quality of Service 40%
• Phase Shift 40%
• Electric Power Utilization 20%
• Basestation 20%
• Maximization 20%
• Throughput Maximization Problem 20%
• Reinforcement Learning 20%
• Power Allocation 20%
• Shift Variable 20%
• Continuous Phase 20%
• Convergence Rate 20%
• Surface Element 20%
• Internet of Things Device 20%

Computer Science

• Deep Reinforcement Learning 100%
• Machine Learning 100%
• Learning System 100%
• Internet-Of-Things 100%
• Non-Orthogonal Multiple Access 100%
• Deep Learning Method 80%
• Quality of Service 40%
• Clustering Scheme 40%
• Power Consumption 20%
• Neural Network 20%
• Radiology Information System 20%
• Reinforcement Learning 20%
• Power Allocation 20%
• Internet of Things Device 20%
• Convergence Rate 20%

Material Science

• Reinforcement Learning 100%