Demos are open 10:30 - 14:30. 

Sneak peek possible from 8:30.

Future Factories

The future factory will be realized through the digitalization of manufacturing processes and plants, enabled by 5G networks. Ericsson is cooperating with Comau, a world leader in industrial automation, and Telecom Italia, to experiment the future factory in a real industrial environment at Comau facilities.
We demonstrate transport of industrial protocols over industry-grade cellular connectivity to reduce cabling in factory plants, and moving of most of the robot control to cloud (soft PLC).

Paving the digital road for automotive
5G V2X will be more than just “mobile broadband (MBB) on wheels”, but 5G Enhanced MBB (eMBB) is a crucial enabler for today’s and tomorrow’s V2X services. The final goal is fully automated driving but the road towards it is being paved today.

Network assisted drone traffic management
In the future a large amount of drones will fly autonomously and beyond visual line of sight, resulting in the need of drone traffic management. Mobile network operators would not only provide connectivity but also services like identity management, network coverage and capacity. Ericsson Research is investigating a cloud based service platform to extract the data from the mobile networks to enhance drone traffic management.

Mobile virtual reality enabled by Smart Eye-tracking and 5G
High-quality, 360-degree virtual reality imaging typically require large bandwidth and device compute power.  In this demonstration we show how communication service providers can leverage the low-latency property of 5G networks in combination with smart eye-tracking technology and network processing at a distributed cloud edge server to provide a high-quality mobile virtual reality experience at a fraction of network burden. The demonstration has been developed in a cooperation between KTH, Tobii and Ericsson. 

Cloud 3.0: making cloud easy
Cloud and virtualization are key for the digitalization journey. While Cloud components have technically matured well, improvements are still possible, especially for Cloud operations and development. In the quest to make Cloud easy, we have worked on "Cloud 3.0" – a novel platform based on a set of radically revised design principles. Resulting benefits include lowered operational and development costs, but also increased usability and scalability

10 hot consumer trends 2018
Exploring the future from an early adopter user perspective, Ericsson ConsumerLab presents the seventh edition of its annual trend report The 10 Hot Consumer Trends for 2018 and beyond. 

The AR assistant
On-site maintenance of can be time-consuming. In this demo we introduce a digital assistant that aids an engineer on-site to deal with different maintenance-related tasks, for example upgrade/replacement, diagnosis and troubleshooting. The assistant uses Augmented Reality and is Machine-intelligence-intensive. 

InSite Intelligent network operations
inSite applies AI to automate Managed Services. The solution uses machine intelligence not only to predict faults (such as site backup battery down, or KPI degradation) before they occur, but also to detect anomalies in the network by employing unsupervised learning. Technologies developed in InSite will increase customer satisfaction, reduce network faults, and optimize the amount of field workload and number of site visits to reduce costs.

Precise localization solution
We demonstrate a real-time localization platform which allows various industry partners to build location based applications. Instead of building verticals, our platform innovation moves the logic from the infrastructure and devices into the cloud, which significantly reduces TTM for complete solutions and the reduced infrastructure cost opens up new use cases.
The demo will contain a presentation of the hardware devices that were developed by us, as well as together with partners. We'll also show how the cloud platform supports deployments and building applications.

Smart logistics
Many industries are betting on the Internet of Things (IoT) to improve efficiency through seamless automation. This requires many versatile components to be part of the ecosystem and underlying system solution, for example sensing and actuation as a service, condition based monitoring, activity planning, and smart contracts. Here we represent these components as generic building blocks in an IoT automation toolbox. The demo shows a prototype realization of an IoT and Machine Intelligence powered end-to-end logistics scenario and highlights how the components could be brought together to create significant business value.

Mobile edge cloud enabled mixed reality service 
An engaging hands-on demo showing a mixed reality (as a) service that utilizes a proposed Ericsson mobile edge Augmented Reality / Mixed Reality (AR/VR) cloud platform. 
Use case and demo selected from analysis of business and technology developments (3-5 years ahead) with emerging business as guiding principle.

Deterministic networking & edge cloud for factory automation
This demo is about integrating converged networking with edge cloud for factory automation. We will demonstrate time and mission critical machine-type communication (C-MTC) applications requiring deterministic low latency and reliabile networking,) and the flexibility of deployment using Kubernetes.

Application layer security for the Internet of Things 
Security on the application layer provides a candidate for end-to-end security - thing-to-cloud or thing-to-thing - enabling deployments with constrained devices as well as more powerful, over a variety of transports. Ericsson Research leads the development of a suite of IoT security protocols on application layer currently driven in multiple standardization foras and contributed as open source.

5G for industrial IoT critical machine type communication
5G networks are can enable a large variety of Industrial IoT applications. Critical machine type communication (cMTC) is one domain, which includes for example smart power grids and factory automation. Requirements for these applications are challenging both in terms of very low delay and high reliability.
NR-based Ultra-Reliable Low Latency (URLLC) communications make it possible to fulfill the described connectivity requirements for both local area (~100 m range) and wide area (up to 50 km) use cases, as shown by the evaluation results we present in this poster.