Ing. Robert Bešťák, Ph.D.

The upcoming generation of home appliances is characterized by the fact that the devices are connected to the Internet / cloud via mobile networks and, in fact, these devices become communicating terminals, similar to mobile phones. However, this type of terminal introduces a number of problems to mobile networks with respect to their number, traffic profile, security requirements, etc.; for example, the allocation of radio resources, access to the network, energy requirements, etc. The aim of the thesis is to propose a suitable solution of partial problems for a given type of communication (e.g. allocation and management of communication resources, energy saving communication modes, etc.).

Network-connected home appliances generate a large amount of user and control data that is sent to the network. The objective of this work is to analyze and extract this generated data for the purpose of detection / prediction of problems in appliances and network, and further to optimize the collection of this data (what attributes to collect, how often, etc.). It is assumed that the communication between home appliances and between home appliances and infrastructure is based on mobile networks.

Universality and high penetration of mobile terminals provides a unique source of information regarding behavior of both terminals and their users, in time and space. Each event in a mobile network, whether is caused by terminal or forced by networks, is recorded and stored in the network. The aim of thesis is to investigate usability of this data in order to determine space-time mobility of people and their classification in the administrative divided territory.

Emerging generation of mobile networks (5G) will be highly heterogeneous, i.e. the networks will be comprised of larger number of cells of different sizes and technologies. However, this cell diversity raises several issues such as radio resource management or users‘ mobility management. The aim of thesis is to investigate a concept of virtual cells and its usability to solve the cell diversity issues.