Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk

Keyphrases

• At-risk 100%
• Bad Channels 50%
• Channel Condition 50%
• Communication Scenarios 50%
• Communication Systems 50%
• Complementary Approach 50%
• Conditional Value 100%
• Conditional Value at Risk 100%
• Cross-layer Optimization 50%
• Data Requirements 50%
• Distribution Layer 50%
• Expected Rate 50%
• Fading Distribution 100%
• Generalization Analysis 50%
• Layered Division multiplexing 100%
• Meta-learning 100%
• Mirror Descent 50%
• Multicast Communication 50%
• Numerical Experiments 50%
• Optimality Gap 50%
• Optimization Scheme 50%
• Outage Rate 50%
• Quality of Service 100%
• Sample Complexity 100%
• Service Level 50%
• Small Dataset 50%
• Spectral Efficiency 50%
• Transmitter 100%
• Ultra-reliable Low-latency Communication (URLLC) 100%

Engineering

• Channel Condition 50%
• Communication System 50%
• Division Multiplexing 100%
• Fading Distribution 100%
• Numerical Experiment 50%
• Optimality 50%
• Outage Rate 50%
• Quality of Service 100%
• Reliable Communication 100%
• Service Level 50%
• Spectral Efficiency 50%

Computer Science

• Channel Condition 33%
• Data Requirement 33%
• Division Multiplexing 66%
• Large Data Set 33%
• Layer Optimization 33%
• Multicast Communication 33%
• Quality of Service 100%
• Reliable Communication 100%
• Sampled Dataset 33%
• Spectral Efficiency 33%
• Value at Risk 100%