Adaptive NGMA Scheme for IoT Networks: A Deep Reinforcement Learning Approach

Engineering

• Allocation 33%
• Beamforming 33%
• Channel Correlation 33%
• Channel Model 33%
• Clustering Algorithm 33%
• Energy Constraint 33%
• Frequency Resource 33%
• Internet-Of-Things 100%
• Learning Approach 100%
• Multiple Access 100%
• Noma 66%
• Power Allocation 33%
• Power Constraint 33%
• Reinforcement Learning 100%
• Space Division Multiple Access 66%
• Spatial Correlation 100%
• Sum-Rate Maximization 33%