Development of mathematical models and analysis methods for evaluation quality of the Internet of Things infrastructure’s operation within conditions of dynamic device relocation.
The studies lie at the junction of probability theory, mathematical statistics, and queuing theory. They also include:
- development of motion models for devices in 5G wireless networks taking into account data from mobility statistics for the appraisal of interference generated by moving devices and associated probabilistic characteristics of radio link unavailability periods;
- formalization of radio resource control mechanisms in 5G networks in terms of random process theory, queuing theory, and teletraffic theory taking into account heterogeneous network infrastructure, moving devices, and availability of D2D traffic and Internet of Things; development of analysis methods for queuing models with changing requirements.
Establish a world-class Research Center for solving theoretical problems in probability theory and mathematical statistics, including the application of developed mathematical models to analyze telecommunications networks and systems
The research results can be used by research centers, 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 and by education institutions to train highly qualified staff in Russia and abroad.
Development of 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 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. A kinetic equation for variation of probability distribution characteristics of wireless network will become available. The terms of queuing models with limited resources will be used to describe functioning of the radio call distribution mechanisms in 5G heterogeneous network considering D2D traffic and Internet of Things traffic. Methods and algorithms for calculating the probabilistic-time characteristics of 5G networks for the Internet of Things will be developed. The pr oblems of optimizing parameters of radio resource management schemes will be formulated and solved.
Research results will be applied to software development for:
- operation of wireless mechanisms and machines in industrial production or provision of services. For example, design of robot devices or other automated devices controlled by wireless networks.
- organizing traffic with the autopilot functions in cars. For example, designing vehicles with autopilot function controlled by wireless networks.
- organizing logistic supplies. For example, designing self-regulating water supply, power supply and other supplies managed by wireless networks.
- workflow management of trade enterprises with full customer self-service. For example, design of trading enterprises that are managed by devices controlled by wireless networks.
- organizing construction and operation of smart buildings and structures. For example, design of monitoring systems for construction and facility management by wireless networks.
- development of automated systems to improve citizen security. For example, design of video surveillance systems controlled by wireless networks.
- development of automated systems in banking and insurance. For example, design of automated banking and insurance offices operated by devices controlled by wireless networks.
- development of automated systems for interaction with public authorities. For example, design of automated public service centers operated by devices controlled by wireless networks.