ARIMA-Based Traffic Forecasting for Quality of Service (QoS) Flow Routing in Sixth Generation (6G) Networks

dc.contributor.author Ayca Akcapinar
dc.contributor.author Oyku Gurer
dc.contributor.author Volkan Rodoplu
dc.contributor.author Rodoplu, Volkan
dc.contributor.author Akcapinar, Ayca
dc.contributor.author Gurer, Oyku
dc.date.accessioned 2025-10-06T17:50:08Z
dc.date.issued 2022
dc.description.abstract We develop a methodology for Quality of Service (QoS) flow routing in IoT networks targeted at improving the performance of QoS flow optimization. In contrast with the existing schemes the AutoRegressive Integrated Moving Average (ARIMA) model forecasts the Enhanced Mobil Broadband (eMBB) flow traffic periodically and a QoS optimization program makes reservations on the links for the predicted eMBB flows in advance in order to maximize the total end-to-end data rate from sources to destinations. To this end we design an algorithm that delays the transmission of QoS flows that have laxer latency constraints. We compare the performance of our algorithm against a benchmark QoS routing scheme that transmits the flows in an on-demand fashion. Our results show that our algorithm outperforms the reactive approach. This work holds the potential to impact the design of QoS routing in beyond Fifth Generation (5G) networks. © 2022 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1109/ASYU56188.2022.9925365
dc.identifier.isbn 9781665488945
dc.identifier.scopus 2-s2.0-85142715905
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142715905&doi=10.1109%2FASYU56188.2022.9925365&partnerID=40&md5=bdf2b3838902472aefb2c40499903b16
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8779
dc.identifier.uri https://doi.org/10.1109/ASYU56188.2022.9925365
dc.language.iso English
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof 2022 Innovations in Intelligent Systems and Applications Conference ASYU 2022
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Embb (enhanced Mobile Broadband), Internet Of Things (iot), Qos (quality Of Service), Routing, Benchmarking, Internet Of Things, Mobile Telecommunication Systems, Network Routing, Auto-regressive, Enhanced Mobile Broadband, Flow Routing, Internet Of Thing, Mobile Broadband, Performance, Quality Of Service, Quality-of-service, Routings, Service Flows
dc.subject Benchmarking, Internet of things, Mobile telecommunication systems, Network routing, Auto-regressive, Enhanced mobile broadband, Flow routing, Internet of thing, Mobile broadband, Performance, Quality of service, Quality-of-service, Routings, Service flows
dc.subject eMBB (Enhanced Mobile Broadband)
dc.subject Routing
dc.subject QoS (Quality of Service)
dc.subject Internet of Things (IoT)
dc.title ARIMA-Based Traffic Forecasting for Quality of Service (QoS) Flow Routing in Sixth Generation (6G) Networks
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.department
gdc.description.departmenttemp [Akcapinar A.] Yaşar University, Department of Electrical and Electronics Engineering, Izmir, Turkey; [Gurer O.] Yaşar University, Department of Electrical and Electronics Engineering, Izmir, Turkey; [Rodoplu V.] Yaşar University, Department of Electrical and Electronics Engineering, Izmir, Turkey
gdc.description.endpage 5
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 1
gdc.identifier.openalex W4312639361
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.virtual.author Rodoplu, Volkan
person.identifier.scopus-author-id Akcapinar- Ayca (57420233300), Gurer- Oyku (57420402700), Rodoplu- Volkan (6602651842)
project.funder.name We would like to thank Erdem C¸ akan Buse Pehlivan and Engincan Tunc¸ay for useful discussions and feedback. The basic QoS routing software which is reused in this work was developed under Prof. Rodoplu’s Marie Sklodowska-Curie Action grant no. 846077.
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