Dynamic resource management in integrated NOMA terrestrial–satellite networks using multi-agent reinforcement learning

Engineering

• Energy Efficiency 100%
• Power Control 100%
• Reinforcement Learning 100%
• Delay Time 100%
• Noma 100%
• Internet-Of-Things 50%
• Wireless Communication 50%
• Network Resource 50%
• Disaster Management 50%
• Power Transmission 50%
• Bridging 50%
• Communication Network 50%
• Design Power 50%
• High Energy Efficiency 50%
• Handover 50%
• Terrestrial Network 50%

Computer Science

• Energy Efficiency 100%
• Resource Allocation 100%
• Noma 100%
• time-delay 66%
• Internet-Of-Things 33%
• Wireless Communication 33%
• Deep Reinforcement Learning 33%
• Network Resource 33%
• Communication Network 33%
• Transmission Power 33%
• Reinforcement Learning 33%
• multi agent 33%
• Network Performance 33%
• Practical Solution 33%
• Satellite Network 33%