• An overview on Internet applications and QoS requirements • Internet architecture and Protocols • Internet traffic control and Congestion Control - Traffic policing and shaping - buffer management (e.g. tail drop, AQM: RED, Blue,…) - Packet scheduling (e.g. WFQ, DRR, etc.). - TCP, ECN, etc. • Standardized services - Intserv/RSVP, DiffServ

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

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

• 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

《机器学习 Machine Learning》课程教学资源（书籍文献）An introduction to neural networks

1.1 计算机网络的应用 1.2 网路硬件 1.3 网络软件 1.4 参考模型 1.5 网络实例 1.6 网络标准化 1.7 其他

 1.1计算机网络的应用  1.1.1家庭应用  1.1.2商业应用  1.2计算机网络的组成  1.2.1 因特网的边缘部分  1.2.2 因特网的核心部分  1.2.2.1电路交换  1.2.2.2分组交换  1.3计算机网络的体系结构  1.3.1计算网络协议与层次划分  1.3.2 计算网络体系结构举例  1.3.2 .1 OSI网络体系结构  1.3.2.2 TCP/IP网络体系结构

Distributed Multicast Tree Construction in Wireless Sensor Networks

Joint Optimization of Multicast Energy in Delay-constrained Mobile Wireless Networks

Introduction Backgrounds Motivation and Result System Models Basic Models Operation Rules The Hybrid Protocol Model Definition Feasibility Transmission Opportunities Cell Partitioning Round-Robin Mode Independent Relay Mode Optimal Performance Scaling