5G NR Multi-Access Edge Computing

Enhance your engineering skills and understanding of 5G NR Multi-Access Edge Computing. Learn from engineers at Qualcomm Technologies: a global pioneer in 5G technology.

Discover 5G Training with the Qualcomm Wireless Academy

Why Take This Course?

  • Enhance your industry knowledge and skills by gaining a greater understanding of 5G NR Multi-Access Edge Computing.
  • Train with engineers at Qualcomm Technologies – a world leader in 5G technology and wireless engineering.
  • Participate in a professional development opportunity you can display on your resume/CV and LinkedIn profile.

Course Outline:

  • Learn how 5G NR multi-access edge computing (MEC) brings applications, storage, switching, and control functions closer to the location where they’re needed, improving data processing and reducing latency.
  • Learn how increased efficiency from moving on-device processing to the cloud allows for faster response times and lower battery usage, bringing the potential to transform industries such as manufacturing, transportation, entertainment, and more.
  • Edge computing benefits, applications, and related technologies.
  • Overview of MEC and 5G architecture, MEC technology enablers, and deployment considerations.
  • Detailed overview of 5G MEC architecture, including interfaces, building blocks, and routing mechanisms.
  • Service-based interface approach of 5G and integration with MEC.
  • Session service continuity modes.
  • Multi-homing, uplink classifiers, and LADN.
  • Network function virtualization (NFV) in MEC.
  • Software defined networking (SDN) in MEC.
  • Role of edge intelligence.
  • Deployment models and challenges for MEC.

 

Prerequisites:

  • You are a Network Engineer, System Engineer, and/or Manager.

 

Objectives:

  • Introduce edge computing and technologies that promote its development
  • Explain different network architecture approaches for 5GC
  • Discuss service-based interface approach of 5G and integration with MEC
  • Explain selection and placement of the user Plane Function (UPF) along the data plane
  • Describe various session and service continuity (SSC) modes and their differences
  • Illustrate multi-homing, uplink classifiers and local area data network (LADN)
  • Outline multi-access edge computing (MEC) architecture
  • Discuss the role of network function virtualization’s (NFV) in MEC
  • Describe the role of software defined networking (SDN) in MEC
  • Explore MEC’s role in edge intelligence
  • Discuss MEC deployment challenges
  • Describe deployed MEC cases studies

Course Information

Duration: 3 hours
Price : $395
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