Use 5G Applications for Real-Time Monitoring and Control

This standard defines the competencies required to implement, manage, and optimise 5G-enabled systems for real-time monitoring and control across various applications, including industrial automation, healthcare, smart cities, smart infrastructure, and autonomous systems. It focuses on leveraging 5G’s ultra-low latency, high reliability, and massive connectivity to support instantaneous data exchange, remote operations, and data-driven decision-making.

Professionals in this role will be responsible for deploying and integrating 5G-enabled monitoring and control solutions, ensuring seamless connectivity, data security, and efficient system performance. The standard also addresses network optimisation, edge computing integration, and real-time analytics to enhance operational efficiency, predictive maintenance, and automated responses.

This standard is designed for professionals who use 5G technology for real-time applications, enabling faster, smarter, and more responsive operations in dynamic and high-demand environments.

1. Identify organisational requirements for real-time monitoring and control using 5G technology, in line with organisational objectives and performance needs.
2. Assess the suitability of 5G applications for real-time data exchange, considering latency, bandwidth, device density, and network reliability.
3. Design, implement, and configure 5G-enabled systems to support real-time monitoring and control, integrating sensors, devices, and actuators for seamless data collection and command execution.
4. Deploy and manage 5G applications, leveraging ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC) to enhance real-time responsiveness and automation.
5. Monitor the performance of 5G-enabled systems, to maintain low latency, high reliability, and efficient data processing to support continuous real-time operations.
6. Optimise real-time decision-making and control processes, applying edge computing, AI integration, and advanced data processing techniques in line with organisational requirements.
7. Implement robust security measures to protect data integrity, privacy, and secure communication channels in real-time 5G applications.
8. Maintain compliance with legal, regulatory, and industry standards governing the use of 5G for real-time monitoring and control applications.
9. Evaluate the performance and efficiency of 5G-enabled real-time systems, to provide scalability in line with organisational requirements and industry best practices.

1. Key features of 5G technology relevant to real-time applications, including ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC).
2. The architecture and components of 5G networks, including core, radio access, and edge computing elements.
3. Principles of real-time monitoring and control, including data acquisition, processing, and command execution.
4. Common use cases for 5G in real-time applications, including industrial automation, autonomous vehicles, telemedicine and monitoring and control of energy grids.
5. Innovations in 5G applications for real-time monitoring and control, including digital twins, robotics, and smart infrastructure.
6. Methods for integrating 5G networks with sensors, IoT (Internet of Things) devices, and actuators for real-time data exchange and control.
7. Techniques for configuring 5G systems to support high device density and low-latency communication.
8. Metrics and KPIs (Key Performance Indicators) for assessing the performance of 5G-enabled real-time systems, including latency, reliability, and responsiveness.
9. Techniques for optimising real-time applications using 5G, including edge computing, AI, and dynamic resource allocation.
10. Security risks associated with real-time monitoring and control systems and techniques to mitigate them, including encryption and secure access controls.
11. Legal, regulatory, and organisational requirements related to 5G-enabled real-time systems, including data protection and privacy laws.
12. Emerging tools and platforms for real-time data processing and analytics in 5G environments.