5G Deployment

The course consists of an orientation module and six content modules. A learner is expected to spend at least 4-6 hours per week on each module.

Module 1 – Introduction to 5G Deployment
Learning outcomes:

• Identify the key challenges of 5G deployment.
• Explain 5G deployment aspects related to massive MIMO, mmwave, and other issues.

Module 2 - 5G Radio
Learning outcomes:

• Understand the propagation challenges associated with 5G radio frequencies.
• Explain the core concept of diversity and how it is used to maximise the efficiency of spectral utilisation in a multiple access scenario.
• Describe MIMO and beamforming capabilities and how beamforming enables spectral throughput efficiency.

Module 3 – 5G Radio Access Network Virtualisation
Learning outcomes:

• Differentiate various 5G Radio Access Network (RAN) technologies.
• Describe how 5G RAN is virtualised, and its advantages.
• Execute a practical lab activity on 5G RAN Virtualisation.

Module 4 – 5G and Multi-Access Edge Computing for Disaggregated Core
Learning outcomes:

• Explain the purpose, principles, and architecture for 5G Multi-Access Edge Computing (MEC).
• Execute a practical lab activity on 5G and MEC.

Module 5 – 5G Network Orchestration
Learning outcomes:

• Explain different aspects of 5G network control and orchestration.
• Describe solutions to realise the orchestration of 5G networks.
• Execute a practical lab activity on 5G Network Orchestration.

Module 6 – 5G Deployment Case Studies
Learning outcomes:

• Examine a 5G deployment case study on IIoT or 5G-enabled factory of the future.
• Examine a 5G deployment case study on private 5G for autonomous mining.
• Investigate a case study on the role of 5G in Collaborative-Intelligent Transportation Systems.

Module 7 – Course Summary
This conclusion module wraps up the course, summarising the content in the previous six modules.