Edge computing is a fundamental part of the 5G ecosystem that provides network data processing and storage close to the end users, typically within or at the boundary of operator enabled networks. The new white paper entitled “5G Edge Automation and Intelligence” details the convergence of 5G, edge computing, and artificial intelligence (AI), allowing 5G networks to deliver new services and capabilities more efficiently.
“5G Edge Automation and Intelligence” identifies optimization and automation strategies for edge computing and details their applications. It provides detailed information on potential use cases for autonomous industrial solutions, smart transport, and energy, connected health, and digital twins – and more. The white paper includes the technical capabilities of 5G and edge computing, where the intelligence of 5G network and edge computing can achieve groundbreaking results.
The white paper is a comprehensive guide for the exploration of intricate and complex challenges in the implementation of intelligent 5G networks. It provides recommendations on bringing together expertise from multiple backgrounds for the automation and optimization of 5G networks to serve future customer service and application demands. It examines the following areas:
- 5G Edge Automation: industry landscape, background, 3GPP standards, Open RAN, open source and more
- 5G Edge Optimization, Intelligence, and Analytics: envisioned features and key technologies like artificial intelligence, multi-access for the 5G edge, situational network at the edge, situation-aware transport layer protocols, joint optimization of communication and computing, and distributed learning at the edge
- Application of 5G Edge Automation and Edge Intelligence: autonomous industrial solutions, intelligent transport systems, smart energy, and smart homes, connected health, enabling location information, cloud and edge gaming, and scalable digital twin technologies
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