Madrid, 12^th April, 2021. One of the world’s first tight integrations between 5G standalone (SA) core network and Multiaccess Edge Computing platform has been developed by Capgemini Engineering, Ericsson, Intel and Telefonica at the 5TONIC lab, an open Innovation laboratory for 5G technologies founded by Telefónica and IMDEA Networks in Madrid. Innovative use cases were developed in collaboration with DeepSight Al Labs to demonstrate its capabilities, showing that Edge application can now adapt to varying network conditions and be optimized to deliver a consistent service.

The integration enables third party developers to launch customized Edge applications for rapidly growing areas such as safety & security, connected cars, mobile gaming as well as innovation in traditional IoT uses cases by combining robust connectivity, ultra-fast information processing dynamic network optimization in real-time.

Edge computing value proposition

User’s and enterprises’ demands for enhanced performance plus improved privacy and security are shaping the design of their digital applications at the Edge. This platform provides computing, storage and connectivity capabilities to enterprises and software developers who are delivering innovative solutions directly to customer devices. These scalable data centers can vary in size, location and capacity and can be deployed within mobile, fixed and/or enterprise networks. Deploying applications in these locations enables real-time processing, guaranteed bandwidth, and increased privacy and security.

Edge reduces latency, diminishes devices’ computational needs, and lowers ineffective use of communication capacity. It plays an important role in delivering some of the promises of ultra-low latency and ultra-high reliability in 5G networks. MEC combines the benefits of both, cloud solutions’ affordability and scalability, and on-premise solutions’ performance and convenience. 

A pioneering integration between a 5G SA network and an Intelligent Edge platform

This innovation is based within Ericsson’s Cloud Core Exposure Server (CCES) including 3GPP defined Network Exposure Functions (NEF), and APIGw Exposure Layer. It was built with Capgemini Engineering’s ENSCONCE Edge platform, powered by Intel OpenNESS and OpenVINO technologies and integrated with Ericsson’s 5G core.  The platform was tested using DeepSight AI Lab’s image processing and video analytics to measure the performance based on a variety of network conditions.

Intel provided the technology foundation with their Intel Xeon Scalable processors with built-in AI acceleration to optimize the network infrastructure. OpenNESS, an open source software toolkit, enables a cloud-native edge-computing platform Its mobile networking building blocks enable the platform to dynamically steer traffic between a mobile network and destination applications. These building blocks accelerate customer time-to-value by providing reference implementations for 3GPP network components. Intel’s Distribution of OpenVINO toolkit takes advantage of CPUs integrated with Intel DL Boost acceleration with bfloat16 to speed up computer vision workloads and streamline deep learning inference and deployment.