Improvement of management of base stations of mobile operators in market conditions

The study considers the issues related to improving the cost efficiency management for the infrastructure of mobile operators. We have discussed the economic relations of mobile operators connected with assessment of organization and management taking into account modern requirements of functioning and development of the competitive market. Detailed analysis has been carried out for the market situation and methods of determining the performance efficiency of mobile operators. A uniform model of organization and management has been formed. The main focus is on constructing a testing algorithm influencing the organization and management of infrastructure facilities of mobile operators and the success of rendering good-quality communication services. Detailed analysis of the market’s conditions and the prospects of its development has been carried out. We have developed original methodical tools for organization and management of cost efficiency using the example of base stations of mobile operators. The data of the study should be useful to mobile operators for assessing the competitiveness and making effective management decisions. The results obtained can also become a basis for further studies in economy of cellular communication. We have offered methodological provisions for managing the key parameters characterizing mobile services in the conditions of the regional market when using the testing algorithm. Defining the stages of management could make it possible for the organizations providing mobile service to hold a more competitive position and to reduce economic losses. We have offered an algorithm determining the economic feasibility for studying the financial performance of mobile operators. We have found two stages providing the cost-effective position of mobile operators: stage 1, where the qualitative effect of the type of base stations on the volume of income of mobile operators is assessed, and stage 2, where the model for approximating the given time series is determined and an optimum forecasting method is chosen. The influence depends on the competitive status and the potential directions for management of infrastructure of mobile services.