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master's thesis
Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. urn:nbn:hr:119:149409
Bugarin, Ivan
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Bugarin, I. (2021). Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:149409

Bugarin, Ivan. "Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:119:149409

Bugarin, Ivan. "Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:119:149409

Bugarin, I. (2021). 'Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 03 October 2024, https://urn.nsk.hr/urn:nbn:hr:119:149409

Bugarin I. Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2021 [cited 2024 October 03] Available at: https://urn.nsk.hr/urn:nbn:hr:119:149409

I. Bugarin, "Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:119:149409

Metadata
TitleAnaliza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama
Title (english)Analysis of Machine Learning Application for Quality of Service Assurance in 5G Networks
AuthorIvan Bugarin
MentorŠtefica Mrvelj (mentor)
Committee memberMarko Matulin (predsjednik povjerenstva)
Committee memberIvan Cvitić (član povjerenstva)
Committee memberMario Muštra (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Information and Communications Traffic)
Zagreb
Defense date and country2021-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Postal and Telecommunications Traffic
Abstract
Trenutno je u razvoju peta generacija mobilnih mreža te je na nekim lokacijama već puštena u rad. Nova generacija svojim razvojem donosi razne promjene i primjenu novih tehnologija. Svaka nova generacija mobilnih mreža morala je omogućiti podržavanje različitih usluga i aplikacija, stoga i 5G mreža definira nove mogućnosti koje će se pružiti korisnicima i mrežnim operatorima. U radu su opisne nove specifikacije i karakteristike koje se odnose na 5G mrežu. Također prikazani su parametri i zahtjevi za kvalitetom usluga u 5G mreži te arhitektura modela za osiguravanje kvalitete usluga baziranog na strojnom učenju. Pošto u petoj generaciji postoje razni izazovi za implementaciju ovakvog mehanizma na kraju su detaljno opisane komponente koje sudjeluju u ostvarivanju kvalitete usluga u mrežama pete generacije.
Abstract (english)
The fifth generation of mobile networks is currently under development and has already been launched in some locations. With its development, the new generation brings various changes and the application of new technologies. Each new generation of mobile networks had to enable the support of various services and applications, therefore the 5G network defines new possibilities that will be provided to users and network operators. This paper describes new specifications and features related to the 5G network. Parameters and requirements for quality of service in the 5G network and the architecture of the model for quality of service assurance based on machine learning will also be shown. Since there are various challenges in the implementation process of such mechanism in the fifth generation, the components that participate in achieving the quality of services in the fifth generation networks are described in detail at the end.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:149409
Study programmeTitle: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport
Course: Road Traffic and Transport
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-10-25 11:03:12