Machine Learning for Low-Latency Communications

Part 1: Introduction and Overview
1. Introduction and overview

Part 2: Learning to Estimate for Access Latency Reduction
2. Learning to estimate via group-sparse based algorithm unrolling
3. Learning to estimate via proximal gradient-based algorithm unrolling
4. Learning to detect via multiarmed bandit (MAB)

Part 3: Learning to Compress for Transmission Latency Reduction
5. Learning to compress via information bottleneck
6. Learning to compress via robust information bottleneck with digital modulation
7. Learning to compress for multi-device cooperative edge inference

Part 4: Learning to Optimize for Processing Latency Reduction
8. Learning to optimize via graph neural networks
9. Learning to optimize via knowledge guidance
10. Learning to optimize via decentralized multi-agent reinforcement learning

Part 5: Conclusions
11. Conclusions and Future Research Directions

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Tecnologia de telefonia móvel
• Aprendizagem mecânica
• Tecnologia WAP (sem fios)
• Redes de computadores e comunicações

Machine learning; low-latency communications; learning to optimize; learning to compress; learning to estimate