Analiza mogućnosti primjene strojnog učenja za osiguravanje kvalitete usluga u 5G mrežama

master's thesis

• Title (english): Analysis of Machine Learning Application for Quality of Service Assurance in 5G Networks
• Author: Ivan Bugarin
• Mentor: Štefica Mrvelj (mentor)
• Committee member: Marko Matulin (predsjednik povjerenstva)
• Committee member: Ivan Cvitić (član povjerenstva)
• Committee member: Mario Muštra (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Transport); (Department of Information and Communications Traffic); Zagreb
• Defense date and country: 2021-09-22, 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: 5G; kvaliteta usluge; QoS; strojno učenje; mrežno rezanje
• Keywords (english): 5G; quality of service; QoS; machine learning; network slicing
• Language: croatian
• URN:NBN: urn:nbn:hr:119:149409
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-10-25 11:03:12