Universal Vertical Applications Adaptation for Open RAN: A Deep Reinforcement Learning Approach

Keyphrases

• Radio Access Network 100%
• Reinforcement Learning Approach 100%
• Deep Reinforcement Learning (deep RL) 100%
• Open Radio Access Network (O-RAN) 100%
• Vertical Applications 100%
• Application Adaptation 100%
• Machine Learning Algorithms 66%
• Transmission Parameters 66%
• Transmission Resource 66%
• Artificial Intelligence Machine Learning 66%
• Service Performance 33%
• Proposed Design 33%
• Performance Evaluation 33%
• Machine Learning 33%
• Challenging Issues 33%
• Design Basis 33%
• Packet Error Rate 33%
• Rate Requirement 33%
• Evaluation Results 33%
• Fifth Generation 33%
• Wireless Services 33%
• Computing Platform 33%
• Artificial Intelligence Learning 33%
• Duel 33%
• Intelligent Controller 33%
• Deep Q-network 33%
• Network Collaboration 33%
• RAN Architecture 33%
• 5G Radio Access Network 33%
• RAN Intelligent Controller 33%
• Deployment Environment 33%
• Packet Delay Budget 33%
• Double Q-network 33%

Computer Science

• Learning Approach 100%
• Radio Access Network 100%
• Deep Reinforcement Learning 100%
• Artificial Intelligence 50%
• Machine Learning Algorithm 33%
• Transmission Parameter 33%
• Performance Evaluation 16%
• Packet Error Rate 16%
• Evaluation Result 16%
• Packet Delay 16%
• Computing Platform 16%
• Deep Q-Network 16%
• Deployment Environment 16%
• Machine Learning 16%
• Learning System 16%