Cloud Native 5g Architecting Telecom With Kubernetes And Ai 2025
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Cloud Native 5g Architecting Telecom With Kubernetes And Ai 2025
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Author : Author:1- Veeresh Nunavath, uthor:2- Dr. Lalit Kumar
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Cloud Native 5g Architecting Telecom With Kubernetes And Ai 2025 written by Author:1- Veeresh Nunavath, uthor:2- Dr. Lalit Kumar and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In recent years, the telecommunications industry has witnessed a profound transformation, driven by the convergence of cloud-native paradigms, container orchestration, and artificial intelligence. “Cloud-Native 5G: Architecting Telecom with Kubernetes and AI” is born out of the recognition that tomorrow’s networks must be agile, scalable, and intelligent enough to meet ever-evolving demands—from ultralow-latency industrial automation to immersive augmented-reality experiences. Rather than simply applying legacy architectures to next-generation radio access and core networks, we now have the opportunity to reimagine every layer of the telecom stack through cloud-native principles: microservices, declarative APIs, immutable infrastructure, continuous delivery, and observability. This book is intended as both a roadmap and a hands-on guide for network architects, DevOps engineers, AI practitioners, and decision-makers who are charting a course toward fully software-defined, self-optimizing 5G systems. We begin by exploring the fundamental motivations for cloud-native 5G: the need to accelerate time-to-market, dynamically scale resources, optimize capital and operational expenditures, and inject predictive intelligence into network operations. From there, we delve into the core building blocks of a cloud-native telecom stack: Kubernetes as the orchestration substrate, service meshes for secure and resilient communications, and CI/CD pipelines to automate deployments across distributed edge and regional clusters. Artificial intelligence sits at the heart of the transformation. In early chapters, we introduce machine-learning workflows tailored for network analytics—how to collect, cleanse, and label telemetry at scale; how to train and validate models that predict load, detect anomalies, and anticipate faults; and how to deploy inference engines as lightweight microservices at the network edge. Later sections demonstrate how reinforcement learning and closed-loop control can enable networks to self-tune parameters—orchestrating spectrum allocation, beamforming, and load-balancing in real time—while minimizing human intervention. As the reader progresses, use cases will bring theory to life: implementing cloud-native network slicing to guarantee differentiated SLAs across diverse verticals; leveraging AI-driven traffic steering to optimize quality-of-experience in mobile broadband and ultra-reliable low-latency contexts; and integrating open-source 5G cores with commercial telco cloud platforms. Each chapter balances conceptual clarity with code snippets, architectural diagrams, and references to leading projects—offering practical guidance whether you’re evaluating CNCF-backed network function virtualization (NFV) frameworks or building proprietary AI pipelines. We also address organizational considerations: evolving teams toward DevTelco mindsets, redefining release management and security practices for containerized network functions, and fostering collaboration between data scientists, software engineers, and network operators. The book concludes with a forward-looking perspective on 6G trends—how terahertz communications, distributed intelligence, and digital twins may further disrupt the telecom landscape—and where open-source communities can drive innovation. Whether you’re an engineer tasked with migrating legacy network functions into Kubernetes clusters, a researcher designing novel AI-based management algorithms, or an executive charting your company’s strategic roadmap, this volume aims to equip you with both the conceptual frameworks and the hands-on techniques necessary to architect resilient, scalable, and intelligent 5G systems. The journey toward cloud-native telco is complex—but with Kubernetes and AI as your allies, it is also the most exciting frontier in digital infrastructure today. Authors
Cloud Native 5g Networks Design Deployment And Optimization In Aws 2025
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Author : AUTHOR:1- JayavelanJayabalan, AUTHOR:2-Prof (Dr) Shubhranshu Vikram Singh
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Cloud Native 5g Networks Design Deployment And Optimization In Aws 2025 written by AUTHOR:1- JayavelanJayabalan, AUTHOR:2-Prof (Dr) Shubhranshu Vikram Singh and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The global telecommunications landscape is undergoing a monumental transformation, driven by the convergence of cloud computing and 5G networks. As industries race toward hyperconnectivity and ultra-low latency, the fusion of cloud-native principles with next-generation mobile networks is no longer a future ambition—it is today’s imperative. Cloud-Native 5G Networks: Design, Deployment, and Optimization in AWS emerges in this critical juncture to guide technologists, architects, and decision-makers in understanding and implementing scalable, resilient, and intelligent 5G systems using Amazon Web Services (AWS). This book was conceived from the realization that deploying 5G networks in a cloud-native paradigm requires more than infrastructure knowledge—it demands an integrated understanding of telecom architecture, DevOps automation, security, and edge computing, all optimized within the capabilities of AWS’s globally distributed environment. Bridging these domains is both a technical and strategic necessity, and our goal with this volume is to demystify that intersection for readers across industries. Spanning twelve meticulously curated chapters, this book journeys from foundational principles to forward-looking trends. We begin by grounding readers in the vision and driving forces behind cloud-native 5G on AWS. We then introduce the architectural building blocks that define modern 5G systems and map them to AWS regions, availability zones, Wavelength zones, and edge locations. The chapters delve into real-world methodologies for containerizing network functions with Docker, Kubernetes, and Amazon EKS, and explore edge deployments through AWS Outposts, Wavelength, and the Snow Family. Critical operational topics such as infrastructure as code, CI/CD pipelines, and service mesh architecture are detailed using AWS-native tools like CloudFormation, CDK, Code Pipeline, and App Mesh. We place a strong emphasis on end-to-end security, compliance, and observability, equipping readers to build zero-trust environments with full visibility using CloudWatch, X-Ray, and Prometheus. In our concluding chapters, we look ahead to the transformative role of AI/ML in self-optimizing networks and offer insights into preparing for 6G innovations and next-gen edge computing frameworks. This trajectory ensures that readers not only master the current state of cloud-native 5G but are also poised to lead in shaping its evolution. We thank the broader cloud and telecom communities for inspiring this work. It is our hope that this book fuels innovation, drives knowledge-sharing, and accelerates the democratization of next-gen connectivity solutions across the globe. JayavelanJayabalan Prof. (Dr) Shubhranshu Vikram Singh May 2025
Ai Driven Networks Architecting The Future Of Autonomous Secure And Cloud Native Connectivity 2025
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Author : AUTHOR:1-DIPESH JAGDISH KASHIV, AUTHOR:2-PROF (DR) MOPARTHI NAGESWARA RAO
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Driven Networks Architecting The Future Of Autonomous Secure And Cloud Native Connectivity 2025 written by AUTHOR:1-DIPESH JAGDISH KASHIV, AUTHOR:2-PROF (DR) MOPARTHI NAGESWARA RAO and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In an age defined by relentless digital innovation, networks have evolved far beyond simple conduits for data. They now serve as the critical nervous system of entire industries—powering everything from real-time financial transactions to massive Internet-of-Things deployments and immersive 5G applications. Yet the exponential growth in traffic volumes, the dynamic nature of modern applications, and the sophistication of cyber-threats have exposed the limitations of static, manually managed infrastructures. AI-Driven Networks: Architecting the Future of Autonomous, Secure, and Cloud-Native Connectivity was conceived to meet this challenge head-on, providing a comprehensive roadmap for embedding intelligence, resilience, and automation into every layer of the network stack. Our journey begins in Chapter 1: Foundations of AI-Driven Networking, where we introduce the core principles that underpin the fusion of artificial intelligence and networking. After grounding readers in key machine-learning paradigms—supervised, unsupervised, and reinforcement learning—we map these techniques onto fundamental networking functions such as routing, traffic classification, and anomaly detection. Building on these fundamentals, Chapter 2: Intent-Based and Self-Driving Architectures explores how high-level business objectives can be translated into automated network behaviors. By examining intent interfaces—ranging from declarative APIs to natural-language processing tools—we demonstrate how directives like “ensure sub-5 ms latency between our core data centers” can be codified, deployed, and continuously enforced across software-defined networking controllers, routers, and security gateways. In Chapter 3: Data-Plane Intelligence—From Telemetry to Insights, we dive into the lifeblood of AI-driven networks: data. Modern network devices emit rich, high-velocity telemetry streams—flow records, per-queue latency histograms, packet-level metrics—and ingesting, storing, and analyzing this data at scale is a monumental engineering challenge. We detail scalable architectures for real-time telemetry collection, explore unsupervised anomaly-detection models that surface emerging congestion hotspots, and show how predictive analytics can forecast capacity needs hours or days in advance to enable proactive resource scaling. Chapter 4: Control-Plane Optimization with Reinforcement introduces reinforcement learning as the engine for adaptive, closed-loop control. Beginning with tabular Q-Learning methods that dynamically tune link weights in OSPF and segment-routing protocols, we progress to advanced policy-gradient algorithms—REINFORCE and actor-critic variants—that learn to split flows optimally for throughput and fairness. Multi-agent RL scenarios illustrate how multiple controllers, or administrative domains can cooperate or compete to maximize global efficiency, all while honoring strict service-level agreements. Security is woven throughout every chapter, but Chapter 5: Secure by Design—AI for Threat Detection and Response provides an in-depth exploration of zero-trust enforcement and AI-driven defenses. We unpack the “never trust, always verify” paradigm, showing how continuous authentication—powered by behavioral profiling, device-fingerprinting, and contextual risk scoring—can prevent unauthorized lateral movement even after perimeter breaches. AI-based micro-segmentation adapts dynamically to traffic patterns, while deep-learning models detect novel attack vectors. We conclude with frameworks for automated incident response, orchestrating containment actions like host isolation, firewall rule updates, and credential rotations in real time. As networks embrace containerization and cloud-native platforms, Chapter 6: Cloud-Native and Kubernetes Integration examines how microservices design patterns, service meshes, and GitOps workflows can host AI inference engines for fine-grained policy enforcement. We show how Kubernetes CNI plugins incorporate ML models for per-pod traffic classification, how canary deployments can be orchestrated through AI-driven traffic-splitting strategies, and how declarative pipelines ensure safe, auditable policy roll-outs. Subsequent chapters synthesize these advancements into end-to-end automation and observability frameworks (Chapters 7–9), explore the unique opportunities at the network edge and in 5G environments (Chapter 10), peer into the future with quantum networking and post-quantum resilience strategies (Chapter 11), and address the governance, compliance, and ethical considerations that accompany the adoption of autonomous, AI-driven networks (Chapter 12). Whether you are a network architect designing carrier-grade backbones, a security engineer safeguarding mission-critical infrastructure, or a researcher advancing autonomous systems, this book equips you with the theories, tools, and real-world techniques needed to build networks that not only meet today’s demands but also learn, adapt, and scale as the digital landscape evolves. The future of connectivity is intelligent—and it starts here. Authors Dipesh Jagdish Kashiv
Mastering Mobile Network And Related Security
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Author : Tiju Johnson
language : en
Publisher: BPB Publications
Release Date : 2025-06-13
Mastering Mobile Network And Related Security written by Tiju Johnson and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
DESCRIPTION In an era where telecommunication networks form the backbone of our digital society, this book provides a definitive resource for understanding and implementing robust security measures across various generations of telecom infrastructure. From the fundamental security challenges of 1G networks to the complex threat landscape of 5G, this book delivers a thorough examination of vulnerabilities, attack vectors, and defense strategies that every telecom professional must understand. This book systematically covers the entire mobile security spectrum. Drawing on real-world implementations and architectures, this guide bridges the gap between theoretical security concepts and practical deployment. Each chapter combines technical depth with actionable insights, featuring designs that demonstrate how service providers have successfully implemented defense-in-depth approaches across 3G, 4G, IMS, virtualized environments, RAN, transport, multi-access edge computing (MEC) infrastructures, and other telecom components. Whether you are a security specialist seeking telecom-specific expertise, an engineer responsible for secure network design, an executive making strategic security investments or a student preparing for a career in telecommunications, this book provides the knowledge you need to protect critical telecom infrastructure. The included frameworks, checklists, and reference architectures serve as practical tools that can be applied to strengthen your organization's security posture in today's rapidly evolving threat landscape. WHAT YOU WILL LEARN ● Understand various telecommunication architectures across all telecom generations. ● Identify and mitigate security threats and vulnerabilities across all telecom generations. ● Implement defense strategies for critical telecommunications network infrastructure. ● Analyze and respond to sophisticated attacks targeting telecommunications assets. ● Transform security concepts into solutions using field-tested architectural patterns. ● Develop comprehensive security governance frameworks for telecom environments. ● Implement global security standards (3GPP, ETSI) for mobile network compliance. WHO THIS BOOK IS FOR This book is intended for security professionals, telecom engineers, executives, and students looking to understand the security landscape of modern telecommunications networks. It is ideal for those interested in converged telecom ecosystems and who have a foundational understanding of telecommunication architecture, telecom nomenclature, general networking principles, and basic cybersecurity concepts. TABLE OF CONTENTS 1. Global Security Standards and Evolution of Security in Mobility 2. Generations of Mobile Network and 1G 3. 2G and Enabled Services 4. IP Multimedia Subsystem 5. Third Generation of Mobile Networks 6. 4G Mobile Networks 7. 5G Mobile Networks 8. Private 5G 9. Network Slicing and Related Security 10. RAN and Transport Security 11. Container Adoption in 5G Networks 12. Perimeter and Edge Security 13. Identity and Access Management 14. Security Monitoring 15. Network Security Testing 16. Beyond 5G 17. Securing Future Networks
Karmada For Multi Cluster Kubernetes Management
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Karmada For Multi Cluster Kubernetes Management written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Karmada for Multi-Cluster Kubernetes Management" Karmada for Multi-Cluster Kubernetes Management is an in-depth, authoritative guide for technology leaders, platform engineers, and architects navigating the complexities of multi-cluster Kubernetes deployments. The book begins with a comprehensive exploration of the motivations behind multi-cluster adoption—including business drivers, compliance requirements, and the practical realities of hybrid, multi-cloud, and edge strategies. Readers are equipped with essential context, from foundational Kubernetes concepts to the historical evolution of multi-cluster management, positioning Karmada as a next-generation orchestrator purpose-built for cross-cluster control, scalability, and resilience. Delving into Karmada’s architecture, the book systematically unpacks its control plane, scheduling engines, API interfaces, and core resource management constructs. It provides hands-on guidance for every stage of the operational lifecycle: from installation and onboarding of member clusters, to validation, troubleshooting, upgrading, and disaster recovery. Advanced chapters cover resource propagation, scheduling policies, network topologies, service discovery, and observability, addressing challenges such as secure inter-cluster communication, multi-tenancy, cost control, and regulatory compliance within distributed environments. With meticulous attention to real-world needs, this volume discusses day-2 operations, performance optimization, and security hardening—including progressive strategies for authentication, secrets management, and supply chain protection. Case studies, operational postmortems, and community best practices illustrate the tangible benefits and deployment lessons from enterprise adopters. Complete with forward-looking perspectives on industry standards, API automation, CI/CD integration, and the evolving CNCF ecosystem, this book is both a practical manual and an invaluable strategic resource for Kubernetes practitioners aiming to master multi-cluster orchestration with Karmada.
Enterprise Reinvented Ai Cloud And Data At Scale 2025
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Author : Author:1- Souvari Ranjan Biswal, Author:2-Dr. Nagaraj S
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Enterprise Reinvented Ai Cloud And Data At Scale 2025 written by Author:1- Souvari Ranjan Biswal, Author:2-Dr. Nagaraj S and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In an era defined by digital disruption, enterprises face a singular imperative: to harness the synergistic power of artificial intelligence, cloud computing, and data at unprecedented scale. “Enterprise Reinvented: AI, Cloud, and Data at Scale” emerges from this landscape as both a strategic manifesto and a practical playbook, guiding leaders, architects, and technologists through the seismic shift from monolithic legacy systems to adaptive, intelligence-driven platforms. Rather than viewing AI, cloud, and data as discrete initiatives, this book treats them as deeply intertwined pillars of business reinvention—each amplifying the others to unlock agility, resilience, and transformative insight. We begin by exploring the tectonic forces reshaping the modern enterprise: the exponential growth of data volumes, the maturation of containerized and serverless cloud architectures, and the democratization of machine learning through open-source frameworks and managed services. In these opening chapters, you will discover how strategic alignment between data governance, platform engineering, and AI-driven innovation sets the stage for truly scalable outcomes—from real-time customer personalization and predictive maintenance to autonomous supply chains and intelligent risk management. Subsequent sections dive into the pragmatic mechanics of building “AI-ready” cloud platforms: designing data fabrics that ensure quality, lineage, and compliance; implementing cloud-native architectures that support burst-to-edge workloads; and establishing ML Ops pipelines for continuous model training, validation, and deployment. Case studies drawn from industries as diverse as manufacturing, financial services, and healthcare illustrate how leading organizations navigate governance, security, and cost-optimization challenges while accelerating time-to-value for analytic and AI use cases. Finally, the book offers a forward-looking perspective on the next frontier: how emerging paradigms—such as distributed AI at the edge, digital twins of business processes, and federated learning ecosystems—will redefine the contours of enterprise scale. We also examine the organizational and cultural shifts required to sustain this transformation: cross-functional “platform teams,” data-literate leadership, and an experimentation mindset that balances rigorous risk management with audacious, data-driven ambition. Authors
Fundamentals Of O Ran
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Author : Nishith Tripathi
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-25
Fundamentals Of O Ran written by Nishith Tripathi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Technology & Engineering categories.
Comprehensive reference on O-RAN technology, covering its history, architecture, security, ecosystem, and more, with didactic resources included throughout Discussing both basic and advanced concepts, Fundamentals of O-RAN delivers a comprehensive summary of O-RAN, covering its history, architecture, control loops and microservices (i.e., xApps and rApps), security, ecosystem, R&D initiatives, and challenges and evolution toward 6G. The book not only includes key theoretical principles of O-RAN, but also provides a framework for the reader to carry out guided hands-on exercises through online auxiliary materials. Homework problems and review questions are included in online auxiliary materials to reinforce learning. The book includes instructions on how to create xApps, which are expected to be one of the most promising aspects of O-RAN; for example, by working with an end-to-end O-RAN system using a network slicing functionality where the rApp provides slicing specified policies to the xApp which then allocates the base station's spectrum resources based on the slicing policy to each user (belonging to a certain slice). Readers will also gain an understanding of cellular networks, particularly radio access networks, software virtualization, and software-defined networking concepts, and the knowledge needed to design, build, and test a 5G O-RAN system. Some of the sample topics explored in Fundamentals of O-RAN include: RAN evolution from black box 4G RAN to software-based and virtualized RAN (vRAN) Components of the O-RAN architecture including SMO, Non-RT RIC, Near-RT RIC, O-CU-CP, O-CU-UP, O-DU, O-RU, and O-Cloud xApp design and prototyping from scratch using open cellular software, srsRAN and O-RAN Software Community (OSC) software. Examination of various security dimensions inherent in the O-RAN architecture. Testing and integration, covering Open Test and Integration Centers (OTICs), global PlugFests, certification and badging, and end-to-end test specifications Work Groups (WGs), including WG1 to WG11, and focus groups, with information on how to obtain WG specifications Fundamentals of O-RAN is an essential reference for the workforce of tomorrow's cellular industry, including graduate students, teachers, researchers, faculty members, engineers, and employees involved in the field of wireless networks, especially radio networks.
Kubernetes Best Practices
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Author : Brendan Burns
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-11-14
Kubernetes Best Practices written by Brendan Burns and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-14 with Computers categories.
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples. This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices. You’ll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Understand Kubernetes networking policies and where service mesh fits in Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes
Enterprise Api Management
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Author : Luis Weir
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-07-23
Enterprise Api Management written by Luis Weir and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-23 with Computers categories.
A strategy and implementation guide for building, deploying, and managing APIs Key FeaturesComprehensive, end-to-end guide to business-driven enterprise APIsDistills years of experience with API and microservice strategiesProvides detailed guidance on implementing API-led architectures in any businessBook Description APIs are the cornerstone of modern, agile enterprise systems. They enable access to enterprise services from a wide variety of devices, act as a platform for innovation, and open completely new revenue streams. Enterprise API Management shows how to define the right architecture, implement the right patterns, and define the right organization model for business-driven APIs. Drawing on his experience of developing API and microservice strategies for some of the world's largest companies, Luis Weir explains how APIs deliver value across an enterprise. The book explores the architectural decisions, implementation patterns, and management practices for successful enterprise APIs, as well as providing clear, actionable advice on choosing and executing the right API strategy in your enterprise. With a relentless focus on creating business value, Luis Weir reveals an effective method for planning, building, and running business products and services with APIs. What you will learnCreate API strategies to deliver business valueMonetize APIs, promoting them through public marketplaces and directoriesDevelop API-led architectures, applying best practice architecture patternsChoose between REST, GraphQL, and gRPC-style API architecturesManage APIs and microservices through the complete life cycleDeploy APIs and business products, as well as Target Operating ModelsLead product-based organizations to embrace DevOps and focus on delivering business capabilitiesWho this book is for Architects, developers, and technology executives who want to deliver successful API strategies that bring business value.
5g System Design
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Author : Patrick Marsch
language : en
Publisher: John Wiley & Sons
Release Date : 2018-06-11
5g System Design written by Patrick Marsch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-11 with Technology & Engineering categories.
This book provides a comprehensive overview of the latest research and standardization progress towards the 5th generation (5G) of mobile communications technology and beyond. It covers a wide range of topics from 5G use cases and their requirements, to spectrum, 5G end-to-end (E2E) system architecture including core network (CN), transport network (TN) and radio access network (RAN) architecture, network slicing, security and network management. It further dives into the detailed functional design and the evaluation of different 5G concepts, and provides details on planned trials and pre-commercial deployments across the globe. While the book naturally captures the latest agreements in 3rd Generation Partnership Project (3GPP) New Radio (NR) Release 15, it goes significantly beyond this by describing the likely developments towards the final 5G system that will ultimately utilize a wide range of spectrum bands, address all envisioned 5G use cases, and meet or exceed the International Mobile Telecommunications (IMT) requirements for the year 2020 and beyond (IMT-2020). 5G System Design: Architectural and Functional Considerations and Long Term Research is based on the knowledge and consensus from 158 leading researchers and standardization experts from 54 companies or institutes around the globe, representing key mobile network operators, network vendors, academic institutions and regional bodies for 5G. Different from earlier books on 5G, it does not focus on single 5G technology components, but describes the full 5G system design from E2E architecture to detailed functional design, including details on 5G performance, implementation and roll-out.