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Private 5G: Deployment Models, Design, and Planning - AD-TEAM - 11-08-2025
![[Image: 9a3b5427787e4b2078077eae700a6d8f.jpg]](https://i126.fastpic.org/big/2025/1109/8f/9a3b5427787e4b2078077eae700a6d8f.jpg)
Private 5G: Deployment Models, Design, and Planning
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 48m | 370 MB
Created by Itelcotech
This course provides a comprehensive overview of private 5G networks (non-public networks), covering their standards, specifications, and distinctions from public 5G networks. Explore key enabling technologies such as network slicing, multi-access edge computing (MEC), MIMO, beamforming, Coordinated Multipoint (CoMP), and carrier aggregation.
Learn about spectrum allocation strategies, including licensed, unlicensed, and shared bands, along with regulatory and cost implications. Along the way, compare different deployment models and operational approaches like Time-Sensitive Networking (TSN) for industrial applications. Finally, evaluate the benefits and challenges of private 5G versus alternatives like Wi-Fi, focusing on reliability, latency, and scalability for enterprise use cases. By the end of this course, you'll be equipped with the skills required to assess and implement private 5G solutions effectively.
Learning objectives
- Define private 5G networks (NPN) and explain their standards, specifications, and key differences from public 5G networks.
- Analyze the key enabling technologies for private 5G, including network slicing, MEC, MIMO/beamforming, CoMP, and carrier aggregation, and assess their impact on performance.
- Evaluate spectrum allocation strategies for private 5G, including licensed, unlicensed, and shared spectrum options, along with regulatory and cost considerations.
- Compare private 5G deployment models-standalone, RAN Sharing, and Public Integrated-and operational approaches, including Time-Sensitive Networking (TSN) for industrial use cases.
- Assess the advantages and challenges of private 5G compared to alternatives like Wi-Fi and private 4G, focusing on reliability, latency, and scalability for enterprise use applications.
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