Neural-Enhanced Rate Adaptation and Computation Distribution for Emerging mmWave Multi-User 3D Video Streaming Systems

Keyphrases

• Multi-user 100%
• Rate Adaptation 100%
• Millimeter Wave 100%
• Multi-task 100%
• Video Streaming System 100%
• 3D Streaming 100%
• Quality Variation 75%
• Rebuffering 75%
• Peak Signal to Noise Ratio 50%
• Virtual Environment 25%
• Video Streaming 25%
• Edge Computing 25%
• Quality of Experience 25%
• Deep Reinforcement Learning (deep RL) 25%
• User Actions 25%
• Task Interdependence 25%
• Time Variation 25%
• Content Information 25%
• Time Reduction 25%
• Time Delay 25%
• Maximization Problem 25%
• Video Quality 25%
• Quality Time 25%
• Video Bitrate 25%
• Computing Resource Allocation 25%
• Transmission Delay 25%
• Distribution Method 25%
• Multi-user Virtual Environments 25%
• Delayed Information 25%
• Edge User 25%
• Network Traces 25%
• Reinforcement Learning Framework 25%
• Action Space 25%
• Viewport 25%
• 360-degree Video 25%
• 360-degree Video Streaming 25%
• Decoding Time 25%
• Rate Adaptation Algorithm 25%
• Neural Network Cascade 25%
• Novel Variant 25%
• Variation Reduction 25%
• Signal-to-noise Ratio Enhancement 25%
• Video Dataset 25%
• Millimeter-wave Networks 25%
• Expected Quality 25%

Computer Science

• Video Streaming 100%
• 3d video 100%
• Rate Adaptation 100%
• Streaming System 100%
• peak signal to noise ratio 66%
• Edge Computing 33%
• Interdependence 33%
• Neural Network 33%
• Learning Framework 33%
• Quality-of-Experience 33%
• Deep Reinforcement Learning 33%
• Virtual Reality System 33%
• User Communication 33%
• Content Information 33%
• time-delay 33%
• Transmission Delay 33%
• Distribution Method 33%
• Resource Allocation 33%
• Rate Adaptation Algorithm 33%
• Decoding Throughput 33%