Learning Meets Logic: Fuzzy Logic Based Deep Matching for Intelligent User Association in 6G IoT Networks

Engineering

• Similarity 100%
• Internet-Of-Things 100%
• Wireless Communication 100%
• Communication System 100%
• Quality of Service 100%
• Quality of Experience 100%
• Terrestrial Network 100%
• Energy Efficiency 50%
• Network Model 50%
• Energy Resource 50%
• Basestation 50%
• Service Requirement 50%
• Network Topology 50%
• Channel Condition 50%
• Noma 50%
• High Data Rate 50%
• Communication Paradigm 50%
• Network System 50%
• Neural Network Approach 50%

Computer Science

• Internet-Of-Things 100%
• Fuzzy Mathematics 100%
• Siamese Neural Network 75%
• Quality of Service 50%
• wireless communication system 50%
• Quality-of-Experience 50%
• Resource Allocation 50%
• Neural Network Model 25%
• Energy Efficiency 25%
• Network Topology 25%
• High Reliability 25%
• Service Requirement 25%
• Neural Network Approach 25%
• Emerging Application 25%
• Spectrum Availability 25%
• User Application 25%
• Noma 25%
• Channel Condition 25%
• Application Level 25%
• Wireless Access 25%
• User Satisfaction 25%