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A 3-day course

The ABC of 5G: technical, Business, and regulation perspectives

11 sep. 2025 - 25 sep. 2025
This 3-day course delivers a comprehensive overview of 5G, covering RAN/Core architecture, AI/ML integration, security, regulation, and economics to equip professionals for its industrial application.
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Praktische info:

11 sep. 2025 - 25 sep. 2025
18 uur
Ghent University
Engels
Doelgroep: Professionals and Academic Individuals interested on the combination of AI/ML and telecommunication technologies

Inschrijven?

  • Voorwaarden: Familiarity with telecomunication networks and AI/ML is a plus
  • Prijs: 1200 EUR
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georganiseerd door:

This course delivers a comprehensive overview of 5G, covering RAN/Core architecture, AI/ML integration, security, regulation, and economics to equip professionals for its industrial application.

Timing

  • Course day 1: Thursday September 11, 2025
  • Course day 2: Thursday September 18, 2025
  • Course day 3: Thursday September 25, 2025

A detailed Table of contents is below:

  • An overview of 5G technologies
    • Evolution from 4G to 5G
    • Key features and benefits of 5G technology
    • Overview of 5G use cases and industrial applications
    • Overview of radio access network (RAN) and core network
    • Introduction to network slicing and virtualization

       

  • 5G Radio Access Network (RAN)
    • Introduction to 5G RAN 5G RAN architecture
    • Functionalities and features of 5G RAN
    • Rollout and optimization of the 5G RAN

       

  • 5G Core Network (5GC)
    • Introduction to the 5G core network
    • 5G Core Network architecture
    • Functionalities and features of 5G Core Network
    • Stand-alone vs. non-stand-alone implementations

       

  • Regulation and legislation
    • Introduction to 5G regulations and legislation
    • Regulatory frameworks for 5G
    • Policy and regulatory challenges
    • Privacy, security and data protection in 5G from a legal perspective (technical aspects will be covered in the session on security)
    • GDPR Data Management Act AI/ML in 5G Systems

       

  • Overview of AI/ML in 5G Networks
    • Why AI/ML is needed in 5G (complexity, automation, real-time optimization)
    • High-level integration points: RAN, Core, and Management layers AI/ML in the 5G Core
    • Key functions: NWDAF (Network Data Analytics Function), PCF with AI policies
    • Use cases: traffic prediction, anomaly detection, slice SLA assurance AI/ML in the RAN
    • Focus on O-RAN
    • O-RAN architecture and the role of the RIC (RAN Intelligent Controller)
    • dApps, xApps, rApps: use cases like dynamic spectrum allocation, interference management
    • ML model lifecycle in near-RT and non-RT RICs Challenges and Standards Landscape
    • Challenges: data availability, model portability, trust, explainability
    • Standards and initiatives: O-RAN Alliance, 3GPP (e.g., NWDAF), ETSI ENI, IEEE, ITU

       

  • Security
    • Introduction to 5G security
    • Security challenges in 5G
    • Security/privacy challenges posed by new technologies (SDN, NFV, MEC, slicing)
    • Security/privacy challenges in Open-RAN 5G security architecture
    • Methods for privacy, security and data protection
    • Authentication/access control

       

  • Techno-economics
    • Introduction to 5G techno-economics
    • Business models
    • Cost drivers in 5G networks
    • Revenue Opportunities Return on investment
    • Business strategies and value chain Verticals & paths
    • Introduction to 5G verticals
    • Key use cases and applications
    • Challenges in conducting trials
    • Vertically specific tests
    • Vehicles
    • Smart mobility
    • Smart cities and infrastructure
    • Industrial IoT Future trends

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