2018-1.3.1-VKE - Competitiveness and Excellence Cooperation (VKE), Ericsson - BME 5G joint Research and Development Cooperation
Partners: ERICSSON, BME-TMIT
The main purpose of the project is to research and develop procedures for 5G System Automation, which contains a set of optional functions for 5G network. It will enable operators to build more efficient networks and to automate the 5G network operation activities to a high extent in the following areas: continuous monitoring and analysis of 5G networks, fast troubleshooting, and recovery, flexible distribution of physical re-sources (e.g. server capacity, radio frequencies, network links) among logical networks, immediate detection of inefficient resource allocation, detection of necessary changes and the automated execution of those. Fast storage and access of system data.
An experimental 5G network was created as part of the project. The project was executed by a consortium formed by Ericsson Hungary Ltd. and the Budapest University of Technology and Economics, Department of Telecommunications and Media Informatics (BME-TMIT) at their premises in Infopark, Budapest. The experimental development tasks were carried out by Ericsson whereas the applied research activities were carried out by BME-TMIT.
The experimental 5G network built by the project serves as a real test environment for the development made in the project. Besides, it enables students to get hands-on experience with 5G technology and it can help establish further research cooperation with other industry partners. Such a cooperation enables other industries to get access to 5G experimental or test infrastructures and to get hands-on experience with 5G technology.
Concept demo: Cooperative robotics demonstrating human-robot interaction with heterogeneous hardware components controlled from the cloud using 5G radio/edge cloud architecture.
Együttműködő robotok a felhőben (in Hungarian)
Concept demo: Drones controlled from the edge/cloud perform real time autonomous area monitoring, scanning designated regions, effortlessly identifying pre-trained objects in the field.
Felhőből vezérelt drón (in Hungarian)