3 Sessions (4 Hours Sessions)
Introduction to 5G provides a technical overview of 5G technology and solutions. It helps participants to plan, design, implement, test, and manage 5G applications, services, private 5G networks and other B2B solutions.
5G Enhanced Mobile Broadband (eMBB) brings the promise of high speed and dense broadband to the subscriber. With gigabit speeds, 5G provides an alternative to traditional fixed line services. Fixed wireless access based on mmWave radio technologies enables the density to support high bandwidth services such as video over a 5G wireless connection. To support eMBB use cases, the mobile core must support the performance density and scalability required.
Ultra-Reliable Low Latency Communications (URLLC) focuses on mission critical services such as augment and virtual reality, tele-surgery and healthcare, intelligent transportation, and industry automation. Traditionally over a wired connection, 5G offers a wireless equivalent to these extremely sensitive use cases. URLLC often requires the mobile core User Plane Function (UPF) to be located geographically closer to then end user in a Control and User plane Separation (CUPS) architecture to achieve the latency requirements.
Massive IOT in 5G addresses the need to support billions of connections with a range of different services. IOT services range from devices sensors requiring relatively low bandwidth to connected cars which require a similar service to a mobile handset. Network slicing provides a way for service providers to enable Network as a Service (NaaS) to enterprises; giving them the flexibility to manage their own devices and services on the 5G network.
Class Activities and Collaborative Exercises
In-class Activities, Homework, Case Studies, Group Discussions about technical 5G.
Who Should Attend?
This course is designed engineers and technical audience, and other disciplines who need a clear technical picture of 5G. The course is also useful for technical professionals who have experience with 5G but have never had any formal training.
Prerequisite
Course A1
What Will you Learn?
- An overview of 5G technology, use cases, products, and services.
- A quick overview of 4G evolution to 5G and similarities and differences between 4G/LTE and 5G
- Understand what 5G network slice is and relate to Enhanced Mobile Broadband (eMBB),
- Learn about 5G NSA and SA architecture
- Learn about edge computing and Multi-Access Edge Computing (MEC) in 5G
- Learn about network slicing and how it is used to build and manage a network with emerging requirements from a wide range of users, applications and business segments
- Learn how to achieve a sliced network and to transform it into a set of logical networks on top of a shared infrastructure.
- Learn how standalone 5G Core eliminates the hardware-centric, centralized architectures of the past and embraces a cloud-native, distributed infrastructure for building and operating networks
- Learn about 5G spectrum, milimeter wave (mmWave) and massive MIMO
- Learn about 5G RAN, core and Service-Based Architecture (SBA)
- Highlight the new features of 5G NR, 5G Packet Core, MEC, backhaul
- Understand key concepts in 5G RAN including backhaul, midhaul, and fronthaul transport
How You will Benefit
- Specify 5G use cases and opportunities of 5G in multiple segments
- Learn about 5G RAN, core and Service-Based Architecture (SBA)
- Highlight the new features of 5G NR, 5G Packet Core, MEC, backhaul
- Learn about 5G spectrum, milimeter wave (mmWave) and massive MIMO
- Understand key concepts in 5G RAN including backhaul, midhaul, and fronthaul transport
- Learn about 5G scenarios of Non-Standalone (NSA), dual connectivity and Standalone (SA) deployment
- Describe 5G core network architecture and how it supports network slicing and MEC
- Describe where edge computing work with 5G to significantly improve the performance of applications and enable huge amounts of data to be processed in real-time.
- Discover how AI/ML is being used for 5G cybersecurity, QoS, network planning, automation of network operations (e.g., provisioning, optimization, fault prediction, security, fraud detection), network slicing, reducing operating costs, and improving both the quality of service and customer experience based on chatbots, recommender systems.
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