Use of spline-extrapolation to improve the quality indicators of telecommunication systems

dc.contributor.authorСтрелковська, Ірина Вікторівна
dc.contributor.authorСтрелковська, І. В.
dc.contributor.authorСтрелковская, Ирина Викторовна
dc.contributor.authorStrelkovska, Iryna V.
dc.contributor.authorСоловська, І. М.
dc.contributor.authorSolovska, Iryna M.
dc.contributor.authorТолмак, В. Є.
dc.contributor.authorTolmak, V. Е.
dc.date.accessioned2023-11-07T11:12:13Z
dc.date.available2023-11-07T11:12:13Z
dc.date.issued2019
dc.descriptionStrelkovska I. V. Use of spline-extrapolation to improve the quality indicators of telecommunication systems / I. V. Strelkovska, I. M. Solovska, V. Е. Tolmak // Наукові праці ОНАЗ ім. О. С. Попова. – 2019. – № 2. – С. 77-85.en_US
dc.description.abstractThe problem of predicting self-similar traffic with significant and frequent ripples and the property of long-term dependence is considered. For short-term prediction of self-similar traffic, which is performed outside the considered time interval, a method of spline extrapolation based on various spline functions (cubic and cubic B-splines) is proposed. We recommend a method for estimating traffic prediction errors for each traffic prediction option using cubic or cubic B-splines. Comparison of the results of predicting self-similar traffic using various spline functions (cubic and cubic B-splines) show that the accuracy of the prediction can be improved by using cubic B-splines. According to the results of the study, it is established that cubic B-splines are characterized by high constructively, adequacy to the tasks and simplicity of practical implementation. Their use makes it possible to greatly simplify computational processes using formalized mathematical constructs. The use of the proposed method of spline extrapolation based on cubic B-splines has several advantages over other known methods, namely, ease of practical implementation, high accuracy of forecasting, the ability to accurately extrapolate peak "bursts" of traffic, which is especially important when solving problems in real time. The results of predicting selfsimilar traffic will allow the operator, at the stage of design and further operation of the mobile communication network, to provide the required amount of buffer devices for the network hardware and software, thereby avoiding network congestion and exceeding standard values of traffic service quality indicators. Proposed is the prospect of further research through the use of wavelet-extrapolation in order to improve the accuracy of prediction. Practical significance is determined by the developed recommendations for using the spline-extrapolation method in solving various problems of designing networks of various technologies and structures.en_US
dc.identifier.citationStrelkovska I. V. Use of spline-extrapolation to improve the quality indicators of telecommunication systems / I. V. Strelkovska, I. M. Solovska, V. Е. Tolmak // Наукові праці ОНАЗ ім. О. С. Попова. – 2019. – № 2. – С. 77-85.en_US
dc.identifier.urihttps://hdl.handle.net/11300/26635
dc.language.isoenen_US
dc.subjectself-similar trafficen_US
dc.subjectquality of serviceen_US
dc.subjectpredictingen_US
dc.subjectextrapolationen_US
dc.subjectspline functionen_US
dc.subjectсамоподібний трафікen_US
dc.subjectякість обслуговуванняen_US
dc.subjectпрогнозуванняen_US
dc.subjectекстраполяціяen_US
dc.subjectсплайн-функціяen_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleUse of spline-extrapolation to improve the quality indicators of telecommunication systemsen_US
dc.typeArticleen_US

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