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Avtomatika i Telemekhanika, 2017, Issue 12, Pages 70–83 (Mi at14950)  
This article is cited in 5 scientific papers (total in 5 papers)

Stochastic Systems

Estimating the throughput of wireless hybrid systems operating in a semi-Markov stochastic environment

V. M. Vishnevskiia, A. M. Andronovb

a Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
b Transport and Communication Institute, Riga, Latvia
Full-text PDF (630 kB) Citations (5)
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Abstract: We consider the problems of developing hybrid wireless systems based on laser and radio technologies. We present a new method for estimating the characteristics of such systems operating in a random semi-Markov environment. The method is based on the theory of Markov modulated processes. We develop an efficient algorithm for computing the stationary probability distribution of the states and performance characteristics for hybrid systems. A numerical example illustrates the proposed approach.
Keywords: hybrid wireless system, performance and reliability, Markov modulated processes, semi-Markov process, birth-and-death process.
Funding agency Grant number
Russian Science Foundation 16-49-02021
This work was supported by the Russian Science Foundation and Department of Science and Technology of India (DST), grant no. 16-49-02021 as part of the joint research program of ICS RAS and Church Missionary Society College, Kottayam, India.
Presented by the member of Editorial Board: A. I. Lyakhov

Received: 09.08.2016
English version:
Automation and Remote Control, 2017, Volume 78, Issue 12, Pages 2154–2164
DOI: https://doi.org/10.1134/S0005117917120049
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. M. Vishnevskii, A. M. Andronov, “Estimating the throughput of wireless hybrid systems operating in a semi-Markov stochastic environment”, Avtomat. i Telemekh., 2017, no. 12, 70–83; Autom. Remote Control, 78:12 (2017), 2154–2164
Citation in format AMSBIB
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\pages 70--83
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    • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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