Completed a Master in in Applied Mathematics and Informatics degree at the Faculty of Physics, Mathematics and Natural Sciences of the Peoples’ Friendship University of Russia (RUDN)


Defended the dissertation "Analysis of Probabilistic and Time Characteristics of the Link of the Data Transmission Network" for the degree of Candidate of Sciences in Physics and Mathematics (PhD in Physics and Mathematics), specialty 05.13.17 "Theoretical Foundations of Informatics".


Associate Professor of the Telecommunication Systems Department of the RUDN University.


Awarded the title of Associate Professor of the Department of Telecommunication Systems.


Till present - Associate Professor of the Department of Applied Informatics and Probability Theory of the RUDN University.


Defended the dissertation "Models and methods for analyzing the performance indicators of multiservice and peer-to-peer networks" for the degree of Doctor of Physico-Mathematical Sciences, specialty 05.13.17 "Theoretical Foundations of Informatics".

In different years she did lecturing on the following courses:

  • Random processes and queuing theory;
  • Additional chapters of the theory of mass service;
  • Queuing network;
  • Mathematical theory of teletraffic;
  • Quality management and probabilistic models of next-generation communication network functioning;
  • Multiservice communication networks;
  • Applied problems of queuing theory;
  • Models for analyzing the quality of next-generation networks.

Research in the field of the mathematical theory of teletraffic, multiservice networks, design of next-generation communication networks (NGN), support systems for operating and business activities of communication companies (NGOSS/BSS).

More than 200 scientific articles and 5 monographs have been published on the results of the research (Hirsch index:  10 Scopus, 3 WoS).

  • The mathematical theory of the telecommunications of multiservice networks;
  • 4G and 5G wireless networks;
  • Analysis of the quality of service provision in LTE networks;
  • Machine-to-machine interaction (M2M);
  • Direct interaction of devices (device-to-device, D2D);
  • Internet of Things (IoT);
  • Cloud computing and fog computing;
  • Peer-to-peer (P2P) networks;
  • Signaling in next-generation communication networks;
  • Management of congestion in SIP-server networks;
  •  All-channel signaling system №7 (ACSS 7).
In this paper an approach to analysis of dependence of Session Initiation Protocol server model with batch arrivals performance measures on batch size distribution is considered. Proposed approach employs non-parametric methods of statistical analysis. It is shown that there is statistical reliable dependence of performance measures, taken for signaling traffic analysis, on distance between distributions in definite norm. On the basis of proposed analysis elasticity coefficients were evaluated depending on distance between batch size distributions. This approach enables to get correction factors for estimation of these parameters in case distribution functions differ from uniform.
In this paper, an optimization problem of selection strategies for peer-to-peer (P2P) live streaming network is discussed. To solve the problem, the simulation model of P2P live streaming network is developed. The model considers daily peers behavior, their distribution over time zones, collisions, time lags between the server and a peer, lags between peers, and three types of selection strategies: neighbor selection strategy, peer selection strategy, and chunk selection strategy. Daily peers’ behavior is defined as the distribution of the number of online users by the time of day. Initial data for the peers distribution over time zones and their daily behavior are taken from the known Internet sources. The aim of the research is to find an appropriate solution of the proposed optimization problem and to show how the choice of a certain set of selection strategies affects the key characteristics of P2P streaming networks. The results of the conducted numerical analysis show the increase of the network performance up to 16,25 %.
The increased wireless network densification has resulted in availability of wireless access points (AP) in almost each and every indoor location (room, office, etc.). To provide complete in-building coverage very often an AP is deployed per room. In this paper we analyze signal-to-interference (SIR) ratio for wireless systems operating in neighboring rooms separated by walls of different materials by explicitly taking into account the propagation and wall penetration losses. Both AP and direct device-to-device (D2D) configurations are addressed. Our numerical results indicate that the performance of such system is characterized by both the loss exponent describing the propagation environment of interest and wall materials. We provide the numerical results for typical wall widths/materials and analyze them in detail.
Machine-type communication (MTC) is a new service defined by the 3rd Generation Partnership Project (3GPP) to provide machines to interact to each other over future wireless networks. One of the main problems in LTE-advanced networks is the distribution of a limited number of radio resources among enormously increasing number of MTC devices with different traffic characteristics. The radio resources allocation scheme for MTC traffic transmission in LTE networks is also standardized by 3GPP and implements the Random Access Channel (RACH) mechanism for transmitting data units from a plurality of MTC devices. Until now, there is a number of problems with the congestion in radio access network, as evidenced by a series of articles calling attention to the fact that more research is required, and even modification of the RACH mechanism in order to address drawbacks, exhibiting for example when a large number of devices are trying to access simultaneously. However, not many results have been obtained for the analysis, which allows to explore a variety of performance metrics of RACH mechanism on a qualitative level. In this paper the mathematical model in a form of the discrete Markov chain is built taking into account the features of the access procedure under congestion conditions and collisions. This baseline model allows to obtain the solution for key performance measures of RACH mechanism, such as the access success probability and the average access delay, in an analytical closed-form. Based on the proposed baseline model it is possible to obtain new results for the analysis of some modifications of RACH mechanism such as ACB (Access Class Baring).