Ipv6 Network Slicing
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IPv6 Network Slicing
This book is an essential guide to IPv6 network slicing. It covers both the fundamentals and cutting-edge technologies of IPv6 network slicing, and provides insights into future industry developments. IP network slicing is an architectural innovation that provides multiple dedicated logical networks on a shared physical network. It comprises a complete set of solutions designed to meet the differentiated service requirements of the 5G and cloud era. This book focuses on IP network slicing based on the data plane of IPv6, a second-generation network layer protocol standard designed to address many of the problems encountered with IPv4. The book explores the technical implementation of IPv6 network slicing by introducing its architecture, implementation solutions, resource partitioning technologies, data plane technologies, and control plane technologies. It also explains how to deploy IPv6 network slicing through slice controllers and provides deployment suggestions based on Huawei practices. It is a must-read for professional engineers involved in network planning, design, and technology support. Researchers and students in information and communication technology and communication system design will also find it useful.
Guide to SRv6 Network Deployment
This book shows how SRv6 can be used in real-world network deployments, providing real-world project cases from multiple carriers and enterprises. Segment Routing (SR) has matured significantly over the past decade. Its derivative, SR over IPv6 dataplane (SRv6), has experienced rapid development in recent years and has gained wide acceptance among carriers. However, despite the growing interest in SRv6 deployment and the desire for detailed information, no reference material is available. This book aims to fill this gap by providing a comprehensive description of how SRv6 can be used in real network deployment scenarios. Written by participants in Huawei's SRv6 project, this book provides an in-depth look at the project's solution design and deployment guidelines. It also provides insights into the latest progress of SRv6 header compression standards and provides examples. This book is a valuable reference for academics and students majoring in data communications, as well as data communications professionals and managers responsible for network planning and design, and network operation and maintenance management.
Radio Access Network Slicing and Virtualization for 5G Vertical Industries
Learn how radio access network (RAN) slicing allows 5G networks to adapt to a wide range of environments in this masterful resource Radio Access Network Slicing and Virtualization for 5G Vertical Industriesprovides readers with a comprehensive and authoritative examination of crucial topics in the field of radio access network (RAN) slicing. Learn from renowned experts as they detail how this technology supports and applies to various industrial sectors, including manufacturing, entertainment, public safety, public transport, healthcare, financial services, automotive, and energy utilities. Radio Access Network Slicing and Virtualization for 5G Vertical Industries explains how future wireless communication systems must be built to handle high degrees of heterogeneity, including different types of applications, device classes, physical environments, mobility levels, and carrier frequencies. The authors describe how RAN slicing can be utilized to adapt 5G technologies to such wide-ranging circumstances. The book covers a wide range of topics necessary to understand RAN slicing, including: Physical waveforms design Multiple service signals coexistence RAN slicing and virtualization Applications to 5G vertical industries in a variety of environments This book is perfect for telecom engineers and industry actors who wish to identify realistic and cost-effective concepts to support specific 5G verticals. It also belongs on the bookshelves of researchers, professors, doctoral, and postgraduate students who want to identify open issues and conduct further research.