Название: IBN and Service Management for 5G and Beyond
Автор: Krzysztof Przystupa, Mykola Beshley
Издательство: Routledge
Год: 2025
Страниц: 317
Язык: английский
Формат: pdf (true), epub
Размер: 45.1 MB

This monograph focuses on the fundamental principles of intent‑based networking (IBN) technology operation and integration for managing 5G and beyond. IBN can not only largely automate processes but also improve connectivity and increase the efficiency of network design, deployment, and management.

IBN and Service Management for 5G and Beyond presents new methods, algorithms, and models for applying IBN to solve complex problems such as resource allocation, quality of service/quality of experience (QoS/QoE), process automation, and network security. It explains how IBN works and why IBN is an evolution of software‑defined networking (SDN), and how it can be used for 5G and future networks. This monograph covers the fundamentals of IBN, detailing the main components, deployment methods, and case studies. It presents the challenges and benefits of deploying IBN in a 5G system, managing resources, segmenting the network, and improving QoE. Network automation and the prediction of QoS degradation using Artificial Intelligence (AI) and Machine Learning to avoid outages are discussed. Practical recommendations for deploying IBN are offered, and an example of creating a custom open network operating system (ONOS) SDN controller that works in conjunction with user intent is provided. The last chapter is devoted to the security of future networks, threats, and various ways to detect anomalies using network analytics and AI.

This monograph will be useful for students, engineers, researchers, and network professionals who want to deploy IBNs in 5G, SDN/network functions virtualization (NFV), Internet of Things (IoT), and the upcoming 6G. Readers will learn how to make networks automated, secure, efficient, and client‑centric.

Chapter 1 introduces a framework for transforming existing 5G infrastructure into next-generation 5G/6G networks based on intents. It addresses the need for adaptive network management, including network slicing, client-focused radio resource management, and multi-criteria adaptive routing. It emphasizes centralized intelligence, network programmability, and service delivery in resource-constrained environments.
Chapter 2 explores the architecture and components of IBNs and the role of user intents in controlling the network. It discusses how SDN and NFV technologies are utilized to create adaptive infrastructures that meet Service Level Agreements and ensure QoS. A new adaptive customer-oriented management method is proposed, incorporating both network performance and subjective QoE evaluations.
Chapter 3 provides an analysis of the key characteristics of 5G, highlighting improvements in data rates, latency, and support for massive device connectivity. This chapter explores the technologies enabling these advancements, including mmWave, massive MIMO, network slicing, and edge computing, and discusses the integration of SDN, NFV, and AI to support network automation and proactive management.
Chapter 4 develops a method for the end-to-end virtualization of 5G infrastructure resources using IBN and network slicing. This chapter introduces a centralized system for monitoring and controlling network resources based on QoS/QoE parameters, with improvements to algorithms for measuring data transmission delay and reducing signaling load.
Chapter 5 presents novel methods for planning, allocating, and optimizing radio access layer resources in 5G networks. It introduces techniques for resource allocation in heterogeneous 5G/NB-IoT networks based on user intent, with a focus on IoT traffic prioritization and load balancing to ensure end-to-end QoS even in high-load conditions.
Chapter 6 focuses on the implementation of a QoE monitoring system for an enterprise IBN prototype. The system detects network bottlenecks and automatically adjusts data transmission routes to improve QoS. A new handover initiation method is proposed, guiding access point selection based on predicted QoE values to enhance user experience in 5G networks.
Chapter 7 investigates the integration of advanced technologies, such as IBN, blockchain, and AI, into network management and security. It analyzes an intelligent Deep Packet Inspection system designed for 5G/6G networks, enhancing network security by detecting and mitigating sophisticated cyber-attacks. Additionally, this chapter examines how IBN enables adaptive, policy-driven management for real-time threat detection and dynamic network reconfiguration. The chapter concludes by discussing how the convergence of IBN, blockchain, and AI offers businesses a competitive edge by improving operational efficiency, enhancing service quality, and increasing customer satisfaction, while driving innovation and ensuring robust network security in the evolving digital landscape.

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