Vision-Assisted User Clustering for Robust mmWave-NOMA Systems

Engineering

• Basestation 62%
• Captured Image 12%
• Channel State Information 100%
• Clustering 25%
• Clustering Problem 12%
• Deep Learning 12%
• Demonstrates 12%
• Emerging Trend 12%
• Frequency Resource 12%
• Illustrates 12%
• Non-Orthogonal Multiple Access 100%
• Performance 12%
• Performance Loss 12%
• Radio Frequency 12%
• Resource Consumption 12%
• Selection Algorithm 12%

Computer Science

• Algorithm Selection 10%
• Captured Image 10%
• Case Study 10%
• Channel State Information 80%
• Channels 10%
• Clustering 20%
• Deep Learning 10%
• Frequency Resource 10%
• Information User 10%
• Performance Loss 10%
• Resource Consumption 10%
• User 100%

Chemical Engineering

• Deep Learning 100%