Background. Nowadays we face a huge growth in traffic of mobile networks due to the increased usage of smartphones and other mobile devices. To overcome these challenges and improve the efficiency of the network telecom operators use the advanced architectural solutions. These solutions are based on the concept of network slices. Objective. In this paper the improving of the efficiency of mobile networks by forming and mapping slices of multi-service communication network based on network functions virtualization (NFV) is considered as an effective approach to resolve the mentioned above issues. Methods. In order to find the optimal organization of slices the modified algorithm was proposed and performed for several different thresholds of functional losses. Results. The algorithm solves the task of services grouping by their similarity and defines functional costs for services provision with minimum functional losses. Number of slices and functional losses in accordance with various threshold values were considered. Conclusions. The results showed the possibility to rationally allocate system resources, especially when comparing to the similar approach. The further researches will be dedicated to more detailed analysis of the proposed approach with the aim of defining the optimal threshold values of functional losses.
The 5G networks are already widely used and developed for practical use and implementation in modern communication systems. One of the key technologies of these networks is network slicing technology that allows you to distribute, optimize and improve the operation of the entire network. There are many representations and implementations of network slicing. In this paper, we consider models and methods of slicing that can be used for implementation in telecommunication networks. Each of the considered models has both advantages and limitations. Further studies can be devoted to possible modifications of these models from a client-oriented point of view and to considering the possibility of combining these models depending on the requirements of the network.
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