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Optimizing Industry 4.0: Real-Time 5G Network Resource Allocation
KTH, School of Electrical Engineering and Computer Science (EECS).
2024 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Industry 4.0 is an innovative development in indus-trialization, driven by technological advancements and engineer-ing demands. The central idea of this revolution is to automateand downsize industrial operations, requiring thousands of de-vices such as sensors or automated guided vehicles (AGVs). Using5G technology can be highly effective in achieving increasedproductivity, efficiency and safety in an industrial floor, as itprovides a reliable communication system with low latency. Inthis project, we simulate a futuristic factory floor that utilizesautomated guided vehicles (AGVs), a surveillance room withvirtual reality (VR) and control cameras, such that all thesedevices are connected to an edge server through a 5G basestation for communication purposes. All of this is aimed atproviding security and efficiency for the AGVs and a seamlessVR experience in the industry floor. Therefore, providing a lowend-to-end delay through proper resource allocation will be ofutmost importance. To achieve an appropriate end-to-end delay,it is proposed a real-time network resource allocation algorithmbased on the network characteristics on the factory floor. Ouralgorithm has allowed us to recognize the vital importance of howresource blocks are distributed in the network and its relationwith the number of connected devices and to the total delay timein the system. Furthermore, we have thoroughly evaluated theperformance of our system with the aim of achieving a 99.99%availability.

Abstract [sv]

Industri 4.0 ¨ar en innovativ utvecklinginom industrialisering som drivs av tekniska framsteg och in-genj¨orskrav. Den centrala id´en med den h¨ar revolutionen ¨aratt automatisera och minska storleken p˚a industriella verk-samheter, vilket kr¨aver tusentals enheter som sensorer ellerAGV (Automated Guided Vehicles). Att anv¨anda 5G-teknikkan vara mycket effektivt f¨or att uppn˚a ¨okad produktivitet,effektivitet och s¨akerhet p˚a ett industrigolv, eftersom det gerett tillf¨orlitligt kommunikationssystem med l˚ag latens. I det h¨arprojektet simulerar vi ett futuristiskt fabriksgolv som anv¨anderautomatiserade styrda fordon (AGV), ett ¨overvakningsrum medvirtual reality (VR) och kontrollkameror, s˚a att alla dessaenheter ¨ar anslutna till en edge-server via en 5G-basstation f¨orkommunikations¨andam˚al. Allt detta syftar till att ge s¨akerhetoch effektivitet f¨or AGV:erna och en s¨oml¨os VR-upplevelse p˚aindustrigolvet. D¨arf¨or ¨ar det av yttersta vikt att tillhandah˚allaen l˚ag end-to-end-f¨ordr¨ojning genom korrekt resursallokering.F¨or att uppn˚a en l¨amplig end-to-end-f¨ordr¨ojning f¨oresl˚as enalgoritm f¨or realtidsallokering av n¨atverksresurser baserat p˚an¨atverksegenskaperna p˚a fabriksgolvet. V˚ar algoritm har gjortdet m¨ojligt f¨or oss att inse den avg¨orande betydelsen av hurresursblocken f¨ordelas i n¨atverket och dess relation till antaletanslutna enheter och till den totala f¨ordr¨ojningstiden i systemet.Dessutom har vi grundligt utv¨arderat prestandan i v˚art systemmed m˚alet att uppn˚a en tillg¨anglighet p˚a 99,99%.

Place, publisher, year, edition, pages
2024. , p. 543-553
Series
TRITA-EECS-EX ; 2024:184
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-359416OAI: oai:DiVA.org:kth-359416DiVA, id: diva2:1933435
Supervisors
Examiners
Projects
Kandidatexamensarbete Elektroteknik EECS 2024Available from: 2025-01-31 Created: 2025-01-31

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