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master's thesis
Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:837832
Grabovac, Hrvoje
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Grabovac, H. (2022). Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:837832

Grabovac, Hrvoje. "Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:837832

Grabovac, Hrvoje. "Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:837832

Grabovac, H. (2022). 'Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:837832

Grabovac H. Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:837832

H. Grabovac, "Algoritmi raslojavanja mreže 5G temeljeni na strojnom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:837832

Metadata
TitleAlgoritmi raslojavanja mreže 5G temeljeni na strojnom učenju
Title (english)5G network slicing algorithms based on machine learning
AuthorHrvoje Grabovac
MentorŽeljko Ilić (mentor)
Committee memberŽeljko Ilić (predsjednik povjerenstva)
Committee memberGordan Šišul (član povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tradicionalne mreže sada dosežu svoje granice. Povećanje propusnosti i broja korisnika ne može se zadovoljiti jednostavnom evolucijom hardvera. Način upravljanja mrežom također treba evoluirati. Uvođenje SDN-a i NFV-a započelo je ovu evoluciju. Ove dvije paradigme omogućuju programibilnu mrežu i apstrakciju resursa, čime se dopušta automatsko upravljanje i puno veća kontrola prometa i resursa. 5G dodatno povećava potrebu za evolucijom i inovacijama u upravljanju mrežom. Uvodi snažna ograničenja za kašnjenje, mobilnost, propusnost, energetsku učinkovitost, sigurnost i prije svega QoS. Infrastruktura mobilnih mreža također se razvija, ali to mora biti povezano s promjenom pristupa upravljanju mrežom. Velika heterogenost slučajeva korištenja i njihovih zahtjeva dovela je do uvođenja mrežnog raslojavanja. Ova nova paradigma uključuje podjelu fizičke mreže na više neovisnih virtualnih mreža, od kojih svaka pruža specifičnu uslugu kako bi zadovoljila preciznim zahtjevima. Naravno, sa novom paradigmom dolaze i novi algoritmi koji zahtijevaju daljnje razvijanje.
Abstract (english)
Traditional networks are now reaching their limits. The increase in throughput and in the number of users cannot be satisfied with a simple hardware evolution. The management of networks also needs to evolve. The introduction of SDN and NFV started this evolution. These two paradigms enable a programmable network and an abstraction of resources, thus allowing an automatic management and a much greater control of traffic and resources. 5G further increases the need for evolution and for innovation in network management. It introduces strong constraints on latency, mobility, throughput, energy efficiency, security, and above all QoS. The infrastructure of mobile networks is also evolving, but this must be coupled with a change in the network management approach. The great heterogeneity of use cases and of their requirements led to the introduction of network slicing. This new paradigm involves the partitioning of the physical network into multiple independent virtual networks, each of which provides a specific service to meet precise requirements. Of course, with the new paradigm come new algorithms that require further development.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:837832
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 14:59:23