An efficient Actor Critic DRL Framework for Resource Allocation in Multi-cell Downlink NOMA

Computer Science

• Deep Neural Network 20%
• Deep Reinforcement Learning 100%
• Dynamic Nature 20%
• Dynamic Resource Allocation 20%
• Learning Approach 20%
• Multiple Access Scheme 20%
• Network Structure 20%
• Noma 100%
• Online Environment 20%
• Power Allocation 20%
• Reinforcement Learning 40%
• Resource Allocation 100%
• State Space 40%
• sum rate 40%

Engineering

• Active Power 20%
• Basestation 20%
• Cell Multi 100%
• Data Rate 20%
• Deep Neural Network 20%
• Dynamic Nature 20%
• Learning Approach 20%
• Noma 100%
• Orthogonal Multiple Access 20%
• Power Allocation 20%
• Realization 20%
• Reinforcement Learning 100%
• Simulation Result 20%