Measurements and Statistical Analysis for Assessment of Availability of Mobile Network Services

• Autorzy: Kadamus G. , Langer M.

Identyfikatory

DOI

10.26636/jtit.2018.125218

• Języki publikacji: EN

Abstrakty

EN

Availability is an essential feature of telecommunication services. It influences the quality of experience (QoE) associated with individual networks and with the services offered. Therefore, it needs to be allowed for at each level of network design, and has to be controlled at the operation stage. This is achieved by means of various mathematical and numerical tools. In this project listening quality and speech level, which are quality-related features of mobile network services, are measured and analyzed with the Monte Carlo simulation method. Measurements are taken with assistance of the Diversity Benchmarker, a reliable device designed for mobile network testing. Finally, results obtained are compared to assess the applicability of the Monte Carlo method.

Słowa kluczowe

EN

availability; Diversity Benchmarker; Monte Carlo; quality of experience

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2018
• Tom: nr 2
• Strony: 48--52
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Kadamus G.

• International Faculty of Engineering, Lodz University of Technology, Żwirki 36, 90-001 Łódź, Poland

autor

Langer M.

• Institute of Electronics, Lodz University of Technolog,y Wólczańska 211/215, 90-924 Łódź, Poland

Bibliografia

• [1] “QoS/QoE framework for the transition from network oriented to service oriented operations”, ITU-T E.800 ser. Recom. – Sup. 10, 2016.
• [2] “QoS aspects for popular services in mobile networks”, Recom. ITU-T E.804, 2014
• [3] SwissQual AG – a Rohde & Schwarz Company, “Companyprofile”, Feb 2017 [Online]. Available: http://www.mobile-networktesting.com/en/about/company-profile/
• [4] “Diversity Hardware Manual 13.0.2”, SwissQual AG, 2013.
• [5] E. Bauer, X. Zhang, and D. A. Kimber, Practical System Reliability, New York: Wiley, 2009 (doi: 10.1002/9780470455401).
• [6] L. Devroye, Non-Uniform Random Variate Generation, New York: Springer, 1986 (doi: 10.1007/978-1-4613-8643-8).