International Research Collaboration
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City
Brno, Czech Republic
Subject of cooperation:
Development of computer models, numerical and analytical methods of infocommunication technologies together with representatives of Brno University of Technology.
Result of cooperation:
conduct analysis of the statistical characteristics of subscriber traffic in wireless networks in order to identify the spatial-probabilistic characteristics of traffic as well as the reliability of network connections.
About partner:
Start of collaboration: November 2016
Brno University of Technology is the second largest university in the Czech Republic. The University consists of 10 faculties and institutes.
About 23,000 students study at the university.
At the moment the university is ranked 262 in the field of Engineering & Technology according to QS ratings.
Scientific research conducted at Brno University of Technology is focused on computer modeling and the application of numerical and analytical methods in the study of complex physical and technical systems and infocommunication technologies as well as the processing of experimental data. The main research topics include Big Data, computational experiments in telecommunications.
![](/u/www/images/partner_institute/tampere-university-of-technology-squarelogo1.png)
City
Tampere, Finland
Subject of cooperation:
Development of models of devices traffic in 5G wireless networks together with the representatives of Tampere University of Technology
Result of cooperation:
conduct analysis of signal-to-interference ratio as well as related indicators of quality in terms of random processes for typical scenarios of user interaction in 5G networks supporting D2D connections and the Internet of Things.
About partner:
Start of collaboration: November 2016
Tampere University of Technology is one of two Finnish universities funded by the foundation. The University consists of 5 faculties.
The university has 8,300 students and 1,700 employees.
At the moment the university is ranked 319 and 287 in the field of Engineering & Technology according to QS ratings.
Scientific Research at Tampere University of Technology is geared towards the application of mathematical methods to enhance software productivity and reliability. The main research topics include effective algorithms and data structures, algorithmic machine learning and data mining