Određivanje lokacije korisnika korištenjem 5G tehnologije i satelitskih navigacijskih sustava

master's thesis

• Title (english): Determining User Location using 5G Technology and Satellite Navigation Systems
• Author: Bruno Čavara
• Mentor: Mario Muštra (mentor)
• Committee member: Ivan Grgurević (predsjednik povjerenstva)
• Committee member: Marko Matulin (član povjerenstva)
• Committee member: Štefica Mrvelj (član povjerenstva)
• Granter: University of Zagreb; Faculty of Transport and Traffic Sciences; (Division of Intelligent Transport Systems and Logistics); (Department of Intelligent Transport Systems); Zagreb
• Defense date and country: 2020-07-14, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Traffic and Transport Technology; Postal and Telecommunications Traffic

Abstract

5G tehnologija ima za cilj revolucionizirati bežične komunikacije i znatno unaprijediti preciznost pozicioniranja korisnika unutar ćelijske mreže. Lokacijski bazirane usluge predstavljaju temelj usluga pametnih gradova i autonomnih sustava čije je unaprjeđenje nužno za daljnji razvoj kvalitete i razine povezanosti svih čimbenika uključenih u ekosustav mobilnih komunikacija. Jedna od najzastupljenijih metoda pozicioniranja unutar ćelijske mreže je TDOA (eng. Time Difference of Arrival). Ključni čimbenici koji utječu na razinu preciznosti prostorne lokalizacije uporabom TDOA su visina korištenog frekvencijskog područja, broj korištenih baznih stanica za izračun, stopa uzorkovanja (eng. sample rate), geometrijska konfiguracija mreže, vremenski sinkronicitet i uvjeti propagacije signala. U radu je prikazan model izračuna pozicije korisnika uporabom metode TDOA unutar programskog alata Matlab. Preciznost u pozicioniranju je evaluirana prema RMSE (eng. Root Mean Square Error) i izražena u metrima. Iz dobivenih rezultata može se zaključiti kako uporaba viših frekvencijskih područja ima značajan utjecaj u postizanju centimetarske preciznosti koja zadovoljava zahtjeve novih usluga i standarda.

Abstract (english)

One of the main goals of 5G technology is to revolutionize the wireless communications as well as user positioning in cellular network context. Location based services are one of the key elements of smart city services and autonomous systems, which makes its further development necessary in order to improve the quality of connectivity among mobile communication system elements. Time Difference of Arrival – TDOA represents one of the main positioning methods in cellular networks. Key factors related to achieving high-accuracy TDOA are frequency bandwidth, number of eNodeBs used for calculations, sample rate, network geometry, network time synchronization and signal propagation conditions. This thesis contains a model of determining user position using TDOA method, and Matlab programming language was used to create the simulation. The localization performance was evaluated referring to the Root Mean Square Error – RMSE. From the obtained results it is possible to conclude that using high mmWave frequency bands has significant influence on achieving cm-level precision needed to satisfy new requirements and standards.

• Keywords: 5G; TDOA; pozicioniranje; lokacijski bazirane usluge
• Keywords (english): 5G; TDOA; positioning; location-based services
• Language: croatian
• URN:NBN: urn:nbn:hr:119:837362
• 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: 2020-08-21 08:26:43