Masiuk A. Models and algorithms for common resource management in wireless heterogeneous networks.

The thesis is devoted to solving the scientific and technical task of increasing the efficiency of the wireless heterogeneous network operation and enhancing the quality of service for users by improving the method of adaptive selection of radio access network and developing a model for joint management of resources using the technology for Big Data processing. The method for selecting wireless access network in a heterogeneous environment based on the theory of fuzzy sets has been improved. This method allows for a centralized, well-founded decision to carry out a horizontal-vertical handover procedure based on a group of QoS-dependent criteria and criteria that depend directly on the properties of the radio interface of the network system. The method also enables decision-making rules, depending on different telecommunication conditions and network policies. A simulation model of the heterogeneous network has been developed. The model allows to automate investigation of the proposed method of selecting an access node based on the theory of fuzzy sets. The model enables configuration of a large number of simulation parameters using auxiliary mathematical models, in particular for describing and predicting user motion processes. A model for investigation and increasing the productivity of a heterogeneous network using a system of Big Data processing has been enhanced. It is proposed to use technologies of Big Data processing for optimal management of resources in mobile networks. For the first time, in this paper, a complex method of flexible resource management in a heterogeneous network has been developed, which includes: static reserving of resources for a certain type of service in each technology, dynamic resource reserving, analysis of priority of users, which allows to reduce the number of unsatisfied clients. This method makes it possible to increase the performance of a heterogeneous network up to 29% compared to homogeneous mobile communication networks.