Multi-Access Edge Computing

Multi-Access Edge Computing (MEC) - an independent network service in the 5G network

What is MEC in telecom? Multi-Access Edge Computing has a great role to play in organizing the telecommunications network itself, but it also creates many new services for end-customers, and facilitates the use of autonomous devices. For the first time, telecommunications technology is not just about communicating with people and machines. Based on experience in providing services, the telecommunications system was built from the very beginning to meet the needs of various areas of economic activity and the needs of people (and, in a way, machines) based on use cases.

5G MEC architecture takes full advantage of distributed and cloud systems, adding value by building a new class of high-quality services. We have made significant advances compared to earlier telecommunications technologies, but 5G technology provides the basis for the dissemination of this type of service. 5G and edge computing are especially important for machine learning and other forms of artificial intelligence, such as image recognition, speech analysis, and large-scale use of sensors. Specific use cases can include video surveillance, automated driving, connected industrial robots, predicting traffic and congestion in a smart city, and so on. In the case of industrial IoT or autonomous cars, lag in processing between the device and the cloud can lead to disaster.

Watch our video:

5G: An Enabler of Advanced Automation in the Telecommunications Industry

Benefits of the Comarch Multi-Access Edge Computing Product:

Improving precision of the location of the device  

Telco MEC allows devices to be located very accurately. So, when s device is being used actively, MEC can help pinpoint the position of the user and predict their movement.

Telecommunication users’ data security

Keeping customers' data safe is a key element during processing, storage, and especially when moving along with the user

Persistence of data and algorithms

Persistence of data, algorithms, and analytical schemes is necessary to provide services that satisfy end-customers’ needs. 

Customization of services

Customization of services is based on data not only resulting from the user's profile, but also their location.  

Acceptable latency

Providing data with the level of latency required for the  proper operation of the services.

Reducing requirements

Providing the user (and autonomous device) with analytics to reduce the requirements for the hardware.

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