- Doctor of Physical and Mathematical Sciences, Professor - Head of the Research Laboratory for Applied Probability & Stochastic Analysis, The Belarusian State University - Professor in the Department of Probability and Mathematical Statistics, The Belarusian State University - Chairman of the Organizing Committee of the Belorussian Winter Conference on Queuing Theory - Head of the Research Center for Applied Probability & Stochastic Analysis in the Institute of Applied Mathematics and Telecommunications, RUDN
Structural unit: Applied Mathematics & Communications Technology Institute.
The Center specializes in developing mathematical models for the quality evaluation of the operation of Internet of Things infrastructure in conditions of the dynamic movement of devices.
The Research Center develops motion models of devices in 5G wireless heterogeneous networks based on statistical characteristics of subscriber movement patterns. For typical scenarios of subscriber interaction in 5G networks that support D2D connections and the Internet of Things, an analysis of the characteristics of signal to interference ratio is made as well as related quality indicators in terms of random processes. The terms of queuing models with limited resources are used to describe functioning of radio call distribution mechanisms in 5G heterogeneous network considering D2D and Internet of Things traffic. Methods and algorithms for calculating probabilistic-time characteristics of 5G networks for the Internet of Things are being developed. The problems of optimizing parameters of radio resource management schemes are being formulated and solved.
The Research Center develops mathematical models and methods for its analysis to evaluate the quality of operation of the Internet of Things infrastructure in conditions of dynamic movement of devices that will be intensively applied in the areas where the level of penetration of robotic technology is higher and there is a need to work with large volumes of data.
- development of motion models for devices in 5G wireless networks taking into account data from mobility statistics for appraisal of interference generated by moving devices and associated probabilistic characteristics of the radio link unavailability periods;
- formalization of radio resource control mechanisms in 5G networks in terms of the theory of random processes, queuing theory, and teletraffic theory, in consideration with heterogeneous network infrastructure, moving devices and availability of D2D traffic and Internet of Things
- development of analysis methods for queuing models with changing requirements.
In 2016-2017 - 5 articles affiliated with RUDN were prepared and accepted for publication in Scopus journals;
three articles (with manuscript status) were submitted to international peer-reviewed scientific journals, indexed in the Scopus database.
In 2017 - 6 Scopus works were published, one of which is in the Q1 journal.
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.