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master's thesis
Videostrujanje u 5G mrežama
2025. urn:nbn:hr:200:851779
Babić, Mislav
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Multimedia Systems and Digital Television

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Babić, M. (2025). Videostrujanje u 5G mrežama (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:851779

Babić, Mislav. "Videostrujanje u 5G mrežama." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2025. https://urn.nsk.hr/urn:nbn:hr:200:851779

Babić, Mislav. "Videostrujanje u 5G mrežama." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2025. https://urn.nsk.hr/urn:nbn:hr:200:851779

Babić, M. (2025). 'Videostrujanje u 5G mrežama', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 03 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:851779

Babić M. Videostrujanje u 5G mrežama [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2025 [cited 2025 March 03] Available at: https://urn.nsk.hr/urn:nbn:hr:200:851779

M. Babić, "Videostrujanje u 5G mrežama", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2025. Available at: https://urn.nsk.hr/urn:nbn:hr:200:851779

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Metadata
TitleVideostrujanje u 5G mrežama
Title (english)Videostreaming in 5G networks
AuthorMislav Babić
MentorSnježana Rimac-Drlje (mentor)
Committee memberSnježana Rimac-Drlje (predsjednik povjerenstva)
Committee memberDenis Vranješ (član povjerenstva)
Committee memberJelena Šuljug (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Chair of Multimedia Systems and Digital Television)
Osijek
Defense date and country2025-02-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
U ovom diplomskog radu opisan je sustav videostrujanja prema MPEG DASH normi te navedene karakteristike pete generacije mobilnih mreža koje poboljšavaju uslugu videostrujanja preko mobilnih mreža. Glavni problem jest provedba optimizacije sustava videostrujanja kako bi svaki korisnik imao zadovoljavajuću kvalitetu usluge. Za istraživanje i razvoj novih rješenja optimizacije, između ostalog potrebni su mrežni zapisi ostvarenih brzina prijenosa kod videostrujanja snimljeni u stvarnim mrežama. Snimljeni mrežni zapisi najbolje opisuju različite mrežne uvjete, ali zbog nedostatnog broja javno dostupnih mrežnih zapisa te njihove statističke nepredvidljivosti postoji potreba za generiranje sintetičkih mrežnih zapisa. U praktičnom dijelu rada provedena je statistička analiza baze 5G mrežnih zapisa pomoću teorijskih raspodjela Nakagami, Weibull, Rician, Gamma i Gauss. Pomoću dobivenih parametara generirani su sintetički mrežni zapisi te je napravljena analiza koliko dobro sintetički mrežni zapisi oponašaju karakteristike stvarnih izmjernih mrežnih zapisa.
Abstract (english)
This thesis describes a video streaming system according to the MPEG DASH standard and lists the characteristics of fifth-generation mobile networks that improve video streaming services over mobile networks. The main problem is to implement optimization of the video streaming system so that each user has a satisfactory quality of service. For research and development of new optimization solutions, among other things, network traces of achieved video streaming transfer rates recorded in real networks are needed. Recorded network traces best describe different network conditions but due to the insufficient number of publicly available network traces and their statistical unpredictability, there is a need to generate synthetic network traces. In the practical part of the thesis, a statistical analysis of the 5G network traces database was performed using the theoretical Nakagami, Weibull, Rician, Gamma and Gauss distributions. Using the obtained parameters, synthetic network traces were generated and an analysis was made of how well the synthetic network traces mimic the characteristics of real measured network traces.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:851779
Study programmeTitle: Graduate university study programme in Electrical Engineering (branches: Power Engineering and Communications and Informatics; specializations in: Engineering, Power Engineering and Communications, Communications and Informatics
Course: Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike (sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2025-02-28 12:19:13