Power and Rate Adaptation for URLLC With Statistical Channel Knowledge and HARQ

Computer Science

• Automatic Repeat Request 100%
• Ultra Reliable Low Latency Communication 100%
• Channel Knowledge 100%
• Power Adaptation 100%
• Rate Adaptation 100%
• Noise-to-Signal Ratio 66%
• Communication Requirement 33%
• Optimization Policy 33%
• Learning Agent 33%
• Deep Reinforcement Learning 33%
• Optimization Algorithm 33%
• Transmission Efficiency 33%
• Minimization Problem 33%

Engineering

• Channel Knowledge 100%
• Rate Adaptation 100%
• Power Adaptation 100%
• Ultra-Reliable Low Latency Communication 100%
• Signal-to-Noise Ratio 66%
• Transmissions 66%
• Simulation Result 33%
• Minimization Problem 33%
• Reinforcement Learning 33%

Keyphrases

• Request Strategies 33%