Deep learning for distributed user association in massive industrial IoT networks

Keyphrases

• Base Station 33%
• Central Server 33%
• Centralized Optimization 100%
• Collision Probability 33%
• Communication Overhead 66%
• Computational Communication 33%
• Computational Complexity 33%
• Decoding Error Probability 33%
• Decoding Errors 33%
• Deep Learning 100%
• Deep Neural Network 33%
• Distributed Deep Neural Networks 100%
• Distributed User Association 100%
• Future Wireless Networks 33%
• Grant-free Random Access 33%
• High Signal-to-noise Ratio 33%
• Industrial Internet of Things (IIoT) 66%
• Industrial IoT Network 100%
• Internet of Things Networks 33%
• Number of Users 33%
• Optimization Algorithm 100%
• Overall Reliability 33%
• Packet Loss Probability 33%
• Physical Layer 33%
• User Association 33%

Computer Science

• Application Scenario 25%
• Challenging Application 25%
• Collision Probability 25%
• Communication Overhead 50%
• Computational Complexity 25%
• Decoding Error 50%
• Deep Learning 100%
• Deep Neural Network 100%
• Industrial Internet of Things 100%
• Noise-to-Signal Ratio 25%
• Optimization Algorithm 75%
• Packet Loss Probability 25%
• Physical Layer 25%
• Random Access 25%
• Wireless Networks 25%