《机器学习 Machine Learning》课程教学资源（实践资料）华为Atlas人工智能计算解决方案产品彩页

• What is AI • Why AI in Wireless Networks • Reinforcement Learning at Mobile Network Edge • Case Study - SMART Handoff Policy in mmWave HetNets - Multi-Agent RL-Based Content Local Caching

• Chap 10: Introduction to Network Coding • Chap 11: Network Coding in Wireless Networks • Chap 12: A Practical Network Coding System

• Introduction to Traffic Engineering • Historical and Present Traffic Engineering Approaches • Recommendations for Internet Traffic Engineering • Contemporary TE Practices in Operational IP Networks

• Introduction • Economic principles • Traffic classes • Time scales • Mechanisms • Some open problems on traffic management

• Overview of QoS in IP networks • Integrated Service model (IntServ) • Resource Reservation Protocol (RSVP) • Differentiated Services model (DiffServ)

• Why Scheduling? • Problem Definition • Metrics and Requirements of Scheduling Discipline • Mechanisms to Create a Scheduling Discipline • Scheduling Disciplines for Best Effort Connections • Scheduling Disciplines for Guaranteed-service Connections • QoS Service curve model

• Why packet drop • Classification of drop strategies • IP Active Queue Management(AQM) - RED - FRED - BLUE - RIO • Case study: Performance of Selective Discard

• Review of TCP • TCP flow control and congestion control • TCP over wireless • Case study: New Snoop for TCP in Wireless networks Roadmap

 What and why is traffic shaping and traffic policing  Leaky Bucket  Token Bucket Traffic  Generic Cell Rate Algorithm (GCRA) -Virtual scheduling algorithm implementati - Leaky bucket algorithm implementation