Group gamma-distribution and neural network in of the latest telecommunication traffic modeling

Автор: Likhttsinder B.Ya., Privalov A.Yu., Maksimova T.D.

Журнал: Инфокоммуникационные технологии @ikt-psuti

Рубрика: Системы и устройства телекоммуникаций

Статья в выпуске: 4 (84) т.21, 2023 года.

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This article considers queue formation in the M/D/1 system with statistical characteristics of the first two orders that areclose to real, as the purpose of telecommunication traffic modeling . The input stream to the system is considered to be a group stream with constant parameters of the package and distance between arrivals, influenced by gamma distribution. These parameters are determined by a neural network trained to determine parameters of such input streams according to statistical characteristics of the queue at various loads of device. The results obtained demonstrate a good approximation with the use of gamma-ray fluxes. Parameters are evaluated with the use of the neural network. The practical usefulness of the considered approach and the prospects of using neural networks for practical tasks in solving which queue theory is used are provided.

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Queuing system, not ordinary entrance stream, queue moments, neural network, gamma distribution

Короткий адрес: https://sciup.org/140304965

IDR: 140304965   |   DOI: 10.18469/ikt.2023.21.4.04

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