Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management

Keyphrases

• Learning-based 100%
• Traffic Pattern 100%
• Deep Reinforcement Learning (deep RL) 100%
• Radio Resource Management 100%
• Meta-learning 100%
• Pattern Adaptation 100%
• Traffic Flow 33%
• Network Environment 33%
• Interactive Applications 33%
• Dynamic Parameters 33%
• User Requirements 33%
• Allocation Scheme 33%
• Unseen 33%
• Scheduling Algorithm 33%
• Rapid Evolution 33%
• Current Solution 33%
• Real-time Networks 33%
• Meta-learning Strategy 33%
• Second Best 33%
• Network Users 33%
• Network Change 33%
• Joint Resource Allocation 33%
• Adaptive Response 33%
• 6G Networks 33%
• Changing Requirements 33%
• New Service Model 33%
• Latent Dynamics 33%

Computer Science

• Traffic Pattern 100%
• Deep Reinforcement Learning 100%
• Radio Resource Management 100%
• Meta-Learning 100%
• Experimental Result 33%
• Network Environment 33%
• Interactive Application 33%
• State Variable 33%
• User Requirement 33%
• Scheduling Algorithm 33%
• Service Model 33%