Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics
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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2019, Number 3, Pages 108–122
DOI: https://doi.org/10.24143/2072-9502-2019-3-108-122
(Mi vagtu593)
 

This article is cited in 1 scientific paper (total in 1 paper)

MATHEMATICAL MODELING

Analysis of collection methods and mathematical processing of heterogeneous information on the condition of the network coverage area of a communications operator

A. Sorokin, Fam Hak Chong, N. S. Maltseva

Astrakhan State Technical University, Astrakhan, Russian Federation
References:
Abstract: The article analyzes the methods and means of collecting, identifying and processing information related to technical, social and economic parameters of network coverage area. One of the trends in the telecommunications market is a continuous increase in the volume of transmitted traffic while maintaining indicators such as the average revenue per subscriber and the total number of subscribers for telecom operators. Taking into account the analysis of development trends in order to preserve the profitability of work, telecom operators need to increase the efficiency of their work by reducing the cost of maintaining the infrastructure and promoting new services. To solve these problems, it is necessary to use various types of information gathering about the state of the network coverage of a provider. The analysis of methods for collecting information on the network coverage revealed three main types. The first relates to the methods of collecting technical parameters of communication channels between the base stations of the operator and subscriber equipment. The second consists in collecting information on subscriber complaints about the service quality by means of the customer interaction service. The third is conducting marketing research to predict the needs of subscribers for new services. The results of the analysis show that the greatest difficulties in collecting and processing information are related to the complex identification of the network coverage area, taking into account technical and socio-economic factors. The difficulties have been caused by the limitations of the available technical means for analyzing the state of the network coverage area to an integrated generalization of heterogeneous information. According to the analysis results of theoretical methods, it has been stated that using the methods of the theory of fuzzy sets is most appropriate for generalizing the information presented in numerical and verbal form.
Keywords: mobile operator, collection of information, information processing, network coverage area, integral parameters, neural networks, fuzzy sets, marketing research.
Received: 17.04.2019
Bibliographic databases:
Document Type: Article
UDC: [621.391:519.72]:[621.394/.396:004.032.26]
Language: Russian
Citation: A. Sorokin, Fam Hak Chong, N. S. Maltseva, “Analysis of collection methods and mathematical processing of heterogeneous information on the condition of the network coverage area of a communications operator”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2019, no. 3, 108–122
Citation in format AMSBIB
\Bibitem{SorPhaMal19}
\by A.~Sorokin, Fam~Hak~Chong, N.~S.~Maltseva
\paper Analysis of collection methods and mathematical processing of heterogeneous information on the condition of the network coverage area of a communications operator
\jour Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics
\yr 2019
\issue 3
\pages 108--122
\mathnet{http://mi.mathnet.ru/vagtu593}
\crossref{https://doi.org/10.24143/2072-9502-2019-3-108-122}
\elib{https://elibrary.ru/item.asp?id=38583500}
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  • https://www.mathnet.ru/eng/vagtu/y2019/i3/p108
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Вестник Астраханского государственного технического университета. Серия: Управление, вычислительная техника и информатика
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    Abstract page:120
    Full-text PDF :86
    References:9
     
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