Creation of Laboratory for Advanced Research in 5G Internet of Things wireless networks
Creation of Laboratory for Advanced Research in 5G Internet of Things wireless networks

Set up a world-class Research Center for solving practical problems in 5G wireless networks in regard to the network technologies and conducting experimental studies

Project goals
  • The Project Objective is to create information technology (IT solution) in the format of mathematical models for radio resource control mechanisms in fifth-generation wireless heterogeneous networks (5G) that support direct interaction with D2D devices, the Internet of Things (IoT) and the Internet of Reliable Things (IoRT), methods of analysis for models and calculating their stochastic and time response characteristic, such as connection reliability, connection availability, etc.
  • Classes of motion models that take into account the features of the interaction of moving devices in 5G wireless networks will be formalized, fundamentally new analytical and simulation models, computational methods for implementing information technology will be created.
  • New models of queuing systems will be developed with a random number of non-uniform sources of limited availability and those having limited resources for data processing. New actual characteristics will be studied and introduced such as availability and reliability of connection, sensitivity of the considered characteristics to the initial parameters of studied models.
Project leader All participants
Konstantin Samouylov

Konstantin Samouylov

Doctor of Technical Sciences, Professor, Head of Department of Applied Computer Science and Probability Theory at RUDN, Director of the Institute of Applied Mathematics and Telecommunications
Project results
The creation of IT solutions in the format of mathematical models for radio resource control mechanisms in heterogeneous 5G wireless networks that support direct interaction with D2D devices, the Internet of Things (IoT) and the Internet of Reliable Things (IoRT), methods of analysis for models and for calculating their stochastic and time response characteristic, such as connection reliability, connection availability, etc.
The class implementation of motion models that take into account features of the interaction of moving devices in 5G wireless networks, fundamentally new analytical and simulation models, computational methods for implementing information technology.
The development of new models of queuing systems will be developed with a random number of non-uniform sources of limited availability and those having limited resources for data processing. New actual characteristics will be studied and introduced such as availability and reliability of connection, sensitivity of the considered characteristics to the initial parameters the studied models.
Research centers to obtain a complex of mathematical models and algorithms for evaluating properties of advanced and developing solutions.
Mobile network operators to evaluate the future needs of implemented technologies, for example, estimating the volume of radio resources for provision of multimedia services.
Equipment All list
LTE network base stations
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
LTE Radio access network
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
LTE network routers
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
LTE Network Analyzers
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Antennas for LTE network equipment
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Test stations for modeling high network loading
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Modems for test stations
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
SIM card programming devices
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Access points (hotspots) for 5G millimeter range demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Switching circuits for 5G millimeter range demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing; .
• Automated processing of experimental data..
• Management of radio resources of 5G wireless networks with support of Internet Things technologies..
Gloves for scanning hand motions for 5G Tactile Internet demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Robotic arm for 5G Tactile Internet demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Network adapter for 5G Tactile Internet demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Switching circuits for 5G Tactile Internet demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Touch Sensitive Sensor for 5G Tactile Internet demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Touch Sensitive Actuator for 5G Tactile Internet demonstrator
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Demonstrator of 5G unmanned aerial vehicl
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Server based on Intel Xeon processor (4 pieces), 8 cores per processor, 512 GB RAM
• Study of traffic classes related to the interaction of moving devices in 5G wireless networks.
• Study of queuing systems with a random number of non-homogeneous sources of limited availability and limited resources for data processing.
• Automated processing of experimental data.
• Management of radio resources of 5G wireless networks with support of Internet Things technologies.
Application area
  • The application areas of Project results aim to study and develop a scientific foundation and a set of stohastic models for evaluating the effectiveness and reliability of device communication in the Internet of Things wireless networks. The Research results will be applied to the following areas: • Software for operation of wireless mechanisms and machines in industrial production or provision of services: design of robot devices or other automated devices controlled by wireless networks. • Software for organizing traffic with the autopilot functions in cars: designing vehicles with autopilot function controlled by wireless networks. • Software for organizing logistic supplies: designing self-regulating water supply, power supply and other supplies managed by wireless networks.
  • Industries that will be involved in implementation of Internet of Things projects: mobile operators, designers of network equipment, content operators, governments, industrial enterprises, educational institutions, transport and logistics companies, air carriers, medical institutions, housing and utilities sector.
  • Users who will benefit from the research results of the Research Center for Modeling High-Tech Systems and Infocommunications will be: research centers and institutes, educational institutions, mobile operators, designers of network equipment, content operators, governments, industrial enterprises, transport and logistics companies, air carriers, medical institutions, housing and utilities sector, trade enterprises.
  • The research results can be also used to train highly qualified staff in Russia and abroad.
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.