D2D Resource Allocation Based on Reinforcement Learning and QoS

Keyphrases

• Resource Allocation 100%
• Reinforcement Learning 100%
• Cellular User Equipment 100%
• System Capacity 66%
• User Equipment 66%
• Resource Allocation Scheme 66%
• Resource Block 66%
• D2D Users 66%
• High Data Rate 33%
• Network Performance 33%
• Fifth Generation 33%
• Data Systems 33%
• Low Latency 33%
• Learning Scheme 33%
• Rate Capacity 33%
• Starvation 33%
• 5G Mobile Networks 33%
• Fair Resource Allocation 33%
• Device-to-device (D2D) Communication 33%
• Resource Waste 33%
• Greedy Allocation 33%
• Multi-Player Multi-Armed Bandit (MPMAB) 33%
• Harmful Interference 33%
• D2D Pairs 33%
• Preference Matrix 33%

Computer Science

• Quality of Service 100%
• Reinforcement Learning 100%
• Resource Allocation Scheme 100%
• System Capacity 100%
• Resource Allocation 100%
• Network Performance 50%
• Learning Scheme 50%
• Device-To-Device 50%
• Variable Number 50%
• Harmful Interference 50%
• Wireless Network 50%

Engineering

• Quality of Service 100%
• System Capacity 100%
• Reinforcement Learning 100%
• Resource Block 100%
• High Data Rate 50%
• Learning Scheme 50%
• Rate Capacity 50%
• Harmful Interference 50%