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4.3.4 MEC for “Industrial IoT”

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IoT has been one of the key drivers for the 3GPP 5G architecture and its requirements have been considered from the outset. There are multiple enablers specifically designed to serve a great variety of IoT use cases. For mission critical IoT services, there is the concept of URLLC (Ultra Reliable Low Latency Communications) that can be enabled by local processing in the Edge Cloud supported by the 5G architecture. The Edge Cloud is also a key component for Massive IoT, where huge amounts of data are processed near the source, where the data may originate from a massive number of sensors. Another key component that is extremely useful for IoT is network slicing, which allows offering dedicated resources for service tenants specifically tailored to their needs. The following presents a few Industrial IoT use cases that may well be deployed with MEC in 5G networks.

1.Security, safety, data analytics for Industrial IoT

This use case groups a number of innovative services for the operator or third party vendors based on the gathering of huge amounts of data (video, sensor information, etc.) from devices, analysed through a certain amount of processing to extract meaningful information before being sent towards central servers. Applications might run in a single location (i.e. on a single host) or be spread over a given area (e.g. campus coverage) or even in the whole network. In order to support the constraints of the operator or the third party requesting the service, the applications might have to be run on all requested locations (MEC hosts).

This use case describes an application running on a MEC host deployed close to the radio network that receives a very large amount of information from devices and sensors connected to the radio node associated with the MEC host. The application then processes the information and extracts the valuable scenarios the local information can be complemented for example with device location tracking.

2.Active device location tracking

This use case enables real-time, network measurement-based tracking of active terminal equipment (independent of GPS) using 'best-in-class' geo-location algorithms.

The deployment of this use case in a MEC system provides an efficient and scalable solution with local measurement processing. It enables location-based services for enterprises and consumers (e.g. on opt-in basis), for example in venues, retail locations and traditional coverage areas where GPS coverage is not available.

3.Application computation off-loading

In the application computation off-loading use-case, an application in the MEC host executes compute-intensive functionalities with high performance on behalf of mobile devices. By providing rich computation resources on a MEC host, application computation can be off-loaded there, to be accelerated even if a user uses relatively low performance devices, satisfying the user experience regardless of the type of UE. This use case is effectively used for especially computation-hungry applications such as graphical rendering (high-speed browser, Augmented Reality (AR), Virtual Reality (VR) and 3D gaming, etc.), pre-processing of data (sensor data cleansing, video analytics, etc.), and value-added services (language translation, log analytics, etc.). One example of application computation offloading is the Edge Accelerated Browser (EAB). Most parts of the browsing functions, such as Web content evaluation, rendering and optimized transmission, are off-loaded to the MEC application, while the UE just renders reconstituted browser graphics on its display. Again, by transferring any compute-intensive process from a UE to a MEC host to accelerate an application, a rich application experience is made available on various types of mobile devices.