A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network

Computer Science

• Resource Allocation 100%
• Deep Reinforcement Learning 100%
• Learning Approach 100%
• Cognitive Radio Network 100%
• Graph Convolutional Network 100%
• User 75%
• Models 75%
• Channel State Information 50%
• Cognitive Radio 50%
• Simulation 25%
• Channels 25%
• Topology 25%
• Allocation Strategy 25%
• Channel Interference 25%
• Secondary User 25%
• Quality of Service 25%
• spectrum sharing 25%
• Learning Framework 25%
• Power Adaptation 25%
• Interference Mitigation 25%