Design and Implementation for Deep Learning Based Adjustable Beamforming Training for Millimeter Wave Communication Systems

Keyphrases

• Deep Learning Methods 100%
• Learning-based 100%
• Beamforming Training 100%
• Millimeter-wave Communication System 100%
• Beam number 100%
• Training Scheme 50%
• Training Overhead 50%
• Deep Learning Network 50%
• Wireless 25%
• System Throughput 25%
• Mutual Information 25%
• Transmission Power 25%
• Gbps 25%
• High Bandwidth 25%
• Bandwidth Utilization 25%
• Uniformly Distributed 25%
• Millimeter Wave 25%
• Non-line-of-sight (NLoS) 25%
• Beam Alignment 25%
• Attenuation 25%
• IEEE 802.11ax 25%
• Programmable Hardware 25%
• Alignment Accuracy 25%
• Gigabit 25%
• Hardware Platform 25%
• Very High Throughput 25%
• Performance-based Incentives 25%
• Feature Selection Methods 25%
• Reinforcement Learning 25%
• Line-of-sight 25%
• Narrow Beam 25%
• Feature Enhancement 25%
• Beam Direction 25%
• User Mobility 25%
• Real-time Performance 25%
• Transmission Throughput 25%
• 60 GHz Communications 25%
• Training System 25%
• Learning Networks 25%
• Learning Latency 25%
• Beam Training 25%
• Directional Transmission 25%
• MmWave Beamforming 25%
• Historical Results 25%
• Accuracy Training 25%
• Gigabit Transceiver 25%
• Hybrid Line 25%

Engineering

• Communication System 100%
• Millimeter Wave 100%
• Deep Learning Method 100%
• Beamforming 100%
• Experimental Result 33%
• Mutual Information 33%
• Feature Extraction 33%
• Directional 33%
• Transceiver 33%
• Power Transmission 33%
• Selection Method 33%
• Millisecond 33%
• Reinforcement Learning 33%
• High Bandwidth Utilization 33%

Computer Science

• Deep Learning Method 100%
• Experimental Result 33%
• Mutual Information 33%
• High Throughput 33%
• Bandwidth Utilization 33%
• Feature Selection 33%
• Reinforcement Learning 33%
• Hardware Platform 33%
• Transmission Power 33%
• Real Time Performance 33%
• Learning Network 33%
• Beam Direction 33%
• Training Level 33%