REMS: Resource-Efficient and Adaptive Model Selection in 5G NWDAF

Computer Science

• Computing Resource 100%
• Deep Neural Network 100%
• Evaluation Result 50%
• Markov Decision Process 100%
• Multitask Learning 50%
• Performance Improvement 50%
• Problem Selection 50%
• Process Problem 50%
• Resource Consumption 50%
• Service Consumer 50%
• Task Completion 50%

Keyphrases

• Computing Resources 25%
• Deep Neural Network 25%
• Evaluation Results 12%
• Latency Constraint 12%
• Learning Model 25%
• Markov Decision Process 25%
• Model Selection Problem 12%
• Modelling Task 12%
• Multi-task Learning Model 12%
• Network Data Analytics Function (NWDAF) 100%
• Optimal Model Selection 100%
• Optimal Policy 12%
• Performance Improvement 12%
• Q-learning 12%
• Rate of Increase 12%
• Request Rate 12%
• Resource Consumption 12%
• Selection Mechanism 12%
• Service Users 12%
• Single-task Learning 25%
• Task Completion 12%

Psychology

• Learning Model 60%
• Model Selection 100%
• Neural Network 40%