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Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics, 2017, Number 3, Pages 65–75
DOI: https://doi.org/10.24143/2072-9502-2017-3-65-75
(Mi vagtu493)
 

TELECOMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES

Evaluation of operation quality of cellular communication systems using fuzzy conclusion algorithm

M. E. Dzhamalidinova, O. N. Pishchin

Astrakhan State Technical University
References:
Abstract: Quality of mobile system communication is significantly defined by completeness and reliability of information on a status of objects of radio-electronic means. In most cases, the probability of decline in quality increases with untimely response of field services to the existing back couplings of the control system and the analysis of parameters of quality. Modern objects of radio-electronic means are known to be difficult systems having technical intelligence. Therefore, when processing the arriving information on statuses from such objects there happen such situations when use of traditional methods brings to a row of difficulties in their analysis. It occurs for the reasons of insufficiency of prior information, multiparametricity, volume of computing character, a non-standard of situations, a subjective factor of operators. In this regard for processing of such information it is offered to use the theory of fuzzy sets. Parameters of monitoring in the system of mobile communication have been determined. Using the field power level as a key parameter is justified because the whole range of the related secondary parameters of communication quality on input of a receiving device depends on signal power of a communication system in a point of reception. The fuzzy production model has been developed. Each parameter is provided to a linguistic variable for which there is defined a term-set of values. The fuzzy production rules of the model are realized using Fuzzy Logic Toolbox of the software MATLAB on the basis of Mamdani's algorithm.
Keywords: power level of an electromagnetic field, fuzzy production model, a mobile radio communication system, fuzzy set, function of accessory, standing wave ratio, antenna, feeder, base station.
Received: 21.03.2017
Document Type: Article
UDC: 519.242
Language: Russian
Citation: M. E. Dzhamalidinova, O. N. Pishchin, “Evaluation of operation quality of cellular communication systems using fuzzy conclusion algorithm”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2017, no. 3, 65–75
Citation in format AMSBIB
\Bibitem{DzhPis17}
\by M.~E.~Dzhamalidinova, O.~N.~Pishchin
\paper Evaluation of operation quality of cellular communication systems using fuzzy conclusion algorithm
\jour Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics
\yr 2017
\issue 3
\pages 65--75
\mathnet{http://mi.mathnet.ru/vagtu493}
\crossref{https://doi.org/10.24143/2072-9502-2017-3-65-75}
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    Вестник Астраханского государственного технического университета. Серия: Управление, вычислительная техника и информатика
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    References:28
     
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