Beshlei H. Models and method of optimal distribution of network resources in software-defined heterogeneous mobile networks

The thesis is devoted to solving the actual scientific and practical task of improving the efficiency of resource utilization and quality of service in 4G/5G mobile communication systems by developing models for flexible management of information flows and methods for optimal allocation of network resources. The architecture of a 4G mobile network of LTE standard with a newly introduced M2M gateway, which can be the basis for the construction of 5G networks in terms of mass deployment of IoT and M2M interaction services has been proposed. At the level of the new gateway, the process of clustering M2M devices, prioritization and aggregation of traffic with the possibility of load balancing between different base stations has been improved. This solution will allow network operators to leave existing base stations unchanged, reducing the signal load from M2M sensors and, consequently, improving the quality of service. A method for flexible management of information flows at M2M gateways and time-frequency resources allocation in a heterogeneous 4G/5G network is developed. A method for calculating signaling gains in sensor clustering is proposed. A method for optimal allocation of time-frequency resources in LTE networks based on the adaptive selection of frequency bands is developed. A simulation model of the process of functioning of a heterogeneous mobile network is developed. This model automates the proposed method of optimal allocation of time-frequency resources. It has been proved that application of multi-standard M2M gateways in LTE architecture allowed minimizing the amount of signaling information in the process of M2M traffic aggregation up to 10% which, combined with the method of optimal resource allocation, provided an average network offload of 9% and an increase in the average spectral efficiency of 6%. This model will provide coordinated at the level of the base station, the core network and external IP-oriented networks, differentiated adaptive management of resources and individual information flows from mobile and M2M/IoT devices to ensure end-to-end service quality under conditions of temporary lack of spectral resources and instability of the radio channel. Scientific and theoretical approaches to the implementation of software-defined heterogeneous mobile network based on SDN/NFV and SDR technologies have been substantiated.