Implementability improvement of deep reinforcement learning based congestion control in cellular network

Keyphrases

• Learning-based 100%
• Cellular Networks 100%
• Deep Reinforcement Learning (deep RL) 100%
• Congestion Control 100%
• Packet Loss 75%
• Central Processing Unit 75%
• Production Networks 50%
• Monitoring System 25%
• Policy Model 25%
• State-of-the-art Techniques 25%
• Ns-3 25%
• Transport Protocol 25%
• Throughput Performance 25%
• Reward Function 25%
• Deployment Design 25%
• Loss Processing 25%
• Agent Deployment 25%

Engineering

• Cellular Network 100%
• Reinforcement Learning 100%
• Congestion Control 100%
• Central Processing Unit 75%
• Packet Loss 75%
• Simulators 25%
• Adaptability 25%
• State-of-the-Art Method 25%

Computer Science

• Cellular Network 100%
• Deep Reinforcement Learning 100%
• Congestion Control 100%
• Central Processing Unit 75%
• Production Network 50%
• Network Simulator 25%
• Transport Protocol 25%