Mobile Edge Computing(MEC) Service Scenarios

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  • Jimmy at
  • April 14, 2018

Mobile-Edge Computing provides IT service environment and cloud-computing capabilities within the Radio Access. Net- work (RAN) in close proximity to mobile device.MEC aims to reduce latency, ensure highly efficient network operation, service delivery and ultimate personal experience.

Mobile-Edge Computing enhances the Mobile Access Network with MEC servers that enable applications to run in the mobile edge. Due to the proximity of the server into the Access network, there is a latency reduction of delivering such applications or services. Such applications can expose information that can be used to optimize the network and services, reduce latency, and support creating personalized and contextualized services.

Moreover, new and innovative analytics services enable the operator to monitor usage and service quality. Internet of Things (IOT) applications or enterprise communications can benefit greatly from MEC, as it allows service delivery in close proximity to the actual terminal devices.

1.Intelligent video acceleration

The figure below shows an example of the intelligent video acceleration service scenario which attempts to overcome the challenges described above. In this scenario, a radio analytics application, which resides in a MEC server, provides the video server with an indication on the throughput estimated to be available at the radio downlink interface. The video server may use this information to assist TCP congestion control decisions (for example by ensuring that the application level coding matches the estimated capacity at the radio downlink). The content’s time-to-start as well as video-stall occurrences can be reduced, enabling improved video quality and throughput.

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2.Augmented reality

New services become possible when mobile networks supporting high data rates and low latency computation are deployed. One example of such services is Augmented Reality. Augmented reality (AR) is the combination of a view of the real-world environment and supplementary computer- generated sensory input such as sound, video, graphics or GPS data. Augmented reality can enhance the experience of a visitor to a museum or another point of interest. Consider a visitor to a museum, art gallery, city monument, music or sports event, holding their mobile device towards a particular point of interest with the application related to their visit activated (i.e., the museum application). The camera captures the point of interest and the application displays additional information related to what the visitor is viewing.The figure below shows how a MEC platform can be used to provide an Augmented Reality service.

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3.Connected Cars

Mobile Edge Computing can be used to extend the connected car cloud into the highly distributed mobile base station environment, and enable data and applications to be housed close to the vehicles.This can reduce the round trip time of data and enable a layer of abstraction from both the core network and applications provided over the internet. MEC applications can run on MEC servers which are deployed at the LTE base station site to provide the roadside functionality. The MEC applications can receive local messages directly from the applications in the vehicles and the roadside sensors, analyse them and then propagate (with extremely low latency) hazard warnings and other latency-sensitive messages to other cars in the area (as depicted in Figure 5). This enables a nearby car to receive data in a matter of milliseconds, allowing the driver to immediately react.The roadside MEC application will be able to inform adjacent Mobile Edge Computing servers about the event(s) and in so doing, enable these servers to propagate hazard warnings to cars that are close to the affected area.

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4.Internet of Things Gateway

The Internet of Things (IoT) generates additional messaging on telecoms networks, and requires gateways to aggregate the messages and ensure low latency and security. Because of the nature of some of the devices being connected, a real time capability is required and a grouping of sensors and devices is needed for efficient service.

Various devices are connected over different forms of connectivity, such as 3G, LTE, Wi-Fi or other radio technologies. In general the messages are small, encrypted and come in different forms of protocols. There is a need for a low latency aggregation point to manage the various protocols, distribution of messages and for the processing of analytics. The MEC server provides the capability to resolve these challenges.

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