5G D2D Transmission Mode Selection Performance Cluster Limits Evaluation of Distributed AI and ML Techniques

Engineering

• Transmissions 100%
• Electric Power Utilization 100%
• Spectral Efficiency 100%
• Artificial Intelligence 100%
• Machine Learning Technique 100%
• Mode Selection 100%
• Energy Conservation 50%
• Basestation 50%
• System Capacity 50%
• High Data Rate 50%
• Learning Approach 50%
• Energy Efficiency 50%
• Execution Time 50%
• Lower Limit 50%

Computer Science

• Artificial Intelligence 100%
• Power Consumption 100%
• Machine Learning Technique 100%
• Spectral Efficiency 100%
• Execution Time 50%
• Machine Learning Approach 50%
• Distributed Artificial Intelligence 50%
• sum rate 50%
• Multi-Access Edge Computing 50%
• Energy Efficiency 50%
• System Capacity 50%

Keyphrases

• AI Learning 100%
• Selection Performance 100%
• Consumption Time 50%
• Density-based Spatial Clustering of Applications with Noise (DBSCAN) 50%
• 5G D2D Communication 50%
• Backhauling 50%
• Sum Rate 50%