5G Advanced Essential Training
1h 58mIntermediate2025-01-08
Authors

Ryan Hu
Professor at the Seneca College of Applied Arts and Technology
Course details
5G-Advanced is the milestone of 5G standardization after its first phase of 5G specifications concluded in 2019. This course covers the major advancements, highlights its role in enhancing the 5G ecosystem, and prepares you to engage with emerging trends and innovations in 5G and beyond. Instructor Ryan Hu dives into the advancements in radio access networks, AI/ML support, the Internet of Things, non-terrestrial networks, and emerging features—developments that will set a stepping stone toward future telecommunications networks.
Learning objectives
Explain the developments and enhancements introduced in 5G-Advanced.
Apply knowledge of 5G-Advanced to practical scenarios and industry applications.
Describe the system architecture support for AI/ML-based features.
Analyze performance improvements and challenges associated with 5G-Advanced.
Prepare future innovations supported by 5G-Advanced and beyond.
Learning objectives
Explain the developments and enhancements introduced in 5G-Advanced.
Apply knowledge of 5G-Advanced to practical scenarios and industry applications.
Describe the system architecture support for AI/ML-based features.
Analyze performance improvements and challenges associated with 5G-Advanced.
Prepare future innovations supported by 5G-Advanced and beyond.
Skills covered
TelecommunicationsNetwork AdministrationEssential TrainingNetwork and System Administration
Concepts
0. Introduction
- 01 - From 5G to 5G-Advanced
- 02 - 5G-Advanced network architecture
1. Radio Access Network
- 03 - MIMO evolution for downlink and uplink
- 04 - NR duplex operation
- 05 - NR positioning
- 06 - NR sidelinks
- 07 - Network energy saving
- 08 - AI for NR air interface
2. Internet of Things
- 09 - Machine-type communication
- 10 - 5G RedCap
3. UAV and Non-terrestrial Networks
- 11 - UAV support
- 12 - Satellite communication in 5G
- 13 - IoT NTN
4. Network Management and Operations
- 14 - AI ML management
- 15 - RAN intelligence
- 16 - Data collection management
5. Extended Reality (XR) and Media Services
- 17 - 5G XR service architecture
- 18 - XR conversational services
6. Security
- 19 - Security enhancements
- 20 - Security for verticals
Conclusion
- 21 - Next steps
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