Research Center for High-Tech Systems and Infocommunication Modeling of the Institute of Applied Mathematics and Telecommunications
Head:
Ph.D. in Engineering, Professor Head of Laboratory ET4NBIC Lab Professor, Department of Innovation and Business in Information Technologies of the Higher School of Economics Head of the Research Center for High-Tech Systems and Infocommunication Modeling
Structural unit: Applied Mathematics & Communications Technology Institute.
The Center's activities aim to solve practical problems of fifth-generation (5G) wireless networks in terms of user applications. The work is conducted as part of the research project "Research and development of models and methods for design, analysis and calculation of wireless networks”.
- The Center conducts studies on 5G wireless heterogeneous networks in relation to the motion patterns of subscribers.
- The Center develops models of radio resource management mechanisms of various types in 5G wireless heterogeneous networks.
- The Center is developing analytical approaches to the probabilistic–time characteristics of 5G wireless heterogeneous networks under a dynamic random variation of the signal-to-interference ratio.
Main scientific directions All directions
- Develop models for device motion patterns in 5G wireless heterogeneous network based on the statistical characteristics of the motion of subscribers.
- Analyze the signal-to-interference ratio characteristics as well as quality indicators in terms of random probabilities for typical scenarios of subscriber interaction in 5G networks with support of D2D connections and Internet of Things.
- Derive a kinetic equation of variation of function of the probability distribution characteristics in wireless networks.
- Describe the operation of radio resource distribution mechanisms in heterogeneous 5G network considering D2D traffic and Internet of Things traffic in terms of queuing models with limited resources.
- Develop methods and calculation algorithms for probability-time characteristics.
Achievements All achievements
Software design for operation of wireless mechanisms and machines involved in industrial production or provision of services. For example, robot design or other automated devices controlled by wireless networks.
Software design for road traffic organization with autopilot functions in cars. For example, design of vehicles with an autopilot function managed by wireless networks.
Software design for organizing logistic supplies. For example, designing self-regulating water supply, power supply and other supplies managed by wireless networks.
Used equipment See all
Demonstrator of 5G unmanned aerial vehicle
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different tyapes of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Server based on Intel Xeon processor (4 pieces), 8 cores per processor, 512 GB RAM
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different tyapes of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Touch Sensitive Actuator for 5G Tactile Internet demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different tyapes of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Network adapter for 5G Tactile Internet demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Switching circuits for 5G Tactile Internet demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different tyapes of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Touch Sensitive Sensor for 5G Tactile Internet demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different tyapes of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Gloves for scanning hand motions for 5G Tactile Internet demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Robotic arm for 5G Tactile Internet demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Access points (hotspots) for 5G millimeter range demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
SIM card programming devices
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Switching circuits for 5G millimeter range demonstrator
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Antennas for LTE network equipment
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Modems for test stations
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Test stations for modeling high network loading
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
LTE Network Analyzers
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
LTE network routers
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
LTE Radio access network
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
LTE network base stations
• Study of 5G heterogeneous networks considering random motion patterns of subscribers.
• Management of different types of radio resources in the 5G wireless heterogeneous network.
• Analysis of the probabilistic-time characteristics of 5G wireless heterogeneous network with dynamic stochastic variations of the signal-to-interference ratio.
Partners
City
Tampere, Finland
Subject of cooperation:
Development of mechanisms for managing radio resources in the 5G wireless heterogeneous networks that support direct interaction of D2D devices, Internet of Things (IoT) and Internet of Reliable Things (IoRT) together with YL-Verkot Oy’s representatives.
Result of cooperation:
implementation of complex mathematical models for managing radio resources of 5G wireless heterogeneous networks that support direct interaction of D2D devices, Internet of Things (IoT) and Internet of Reliable Things (IoRT).
About partner:
Start of collaboration: November 2016
YL-Verkot Oy focuses on research in 5G telecommunication networks. The main research topics include wireless data transmission systems, heterogeneous communication systems, cooperative data transmission, stand-alone cellular applications.
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.
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