1. Project Proposal, Development of mathematical models and analysis methods for performance estimation of Internet of Things infrastructure under dynamic device relocation.
Head of Project Orlov Yuriy
Doctor of Physical and Mathematical Sciences, Associate Professor of the Department of Higher Mathematics in Moscow Institute of Physics and Technology (MIPT), The Keldysh Institute of Applied Mathematics (KIAM)
Project Staff
Gaidamaka Yu.V. – Co-Head of Project, DSc (RUDN University)
Russkov A.A. – PhD (KIAM)
Vasilyev S.A. – PhD (RUDN University)
Gevorkyan M.N. – PhD (RUDN University)
Demidova A.V. – PhD (RUDN University)
Divakov D.V. – PhD (RUDN University)
and young scientists Tyutyunnik A.A. (RUDN University), Tsareva G.A. (RUDN University), Drevitskiy A.S. (RUDN University)
Prof. Orlov Yuriy

2. Development of mathematical models and analysis methods for performance estimation of Internet of Things infrastructure under dynamic device relocation.
Breakthrough Research
Continuing the development of research begun in 2016, it is also planned
Development of devices movement patterns in wireless 5G networks, taking into account mobility statistics for estimating the level of interference, caused by moving devices, and the associated probabilistic characteristics of the radio channel unavailability periods.
Construction of evolution equations for the mean values of statistical quantum operators describing the state of an electron gas in graphene.
Expected scientific results
For typical scenarios of user interaction in 5G networks with support for D2D connections and Internet of things, an analysis will be made of the characteristics of the signal to interference ratio, as well as related quality indicators, in terms of random processes. A kinetic equation will be derived for the change in the probabilistic characteristics distribution function of the wireless network.
For the marginal distribution, the evolution equation and the equations of the evolution of the moments that follow from it will be obtained.
Scientific results will be published in high-rating journals and reported at international high-level scientific conferences

3. Development of mathematical models and analysis methods for performance estimation of Internet of Things infrastructure under dynamic device relocation.
Scientific results will be published in such high-rating journals as IEEE Communications Letters (Q1), Transactions on Emerging Telecommunications Technologies (Q2), Lecture Notes in Computer Science (Q2), Mathematical Models and Computer Simulations (Q3) etc.
and will be reported at such international high-level scientific conferences as International Conference “Saratov Fall Meeting” (SFM), International Conference “Distributed Computer and Communication Networks: Control, Computation, Communications” (DCCN), International Conference on Wired/Wireless Internet Communications (WWIC), International Conference on Dependability and Complex Systems (DepCoS-RELCOMEX) etc.
It is planned to publish 10 papers in editions indexed in SCOPUS and WoS, including 5 papers of Q1, Q2 and 5 papers of Q3.