Harnessing collaboration to improve the accuracy of throughput prediction in cellular networks

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dc.contributor.authorRaca, Darijo
dc.contributor.authorZahran, Ahmed
dc.contributor.authorSreenan, Cormac J.
dc.contributor.authorTiwari, Abhishek
dc.contributor.authorGupta, Riten
dc.contributor.editorErenli, Kai
dc.contributor.editorGuetl, Christian
dc.contributor.editorJararweh, Yaser
dc.contributor.editorJansen, Jim
dc.contributor.funderResearch Ireland, 13/RC/2077 P2
dc.date.accessioned2026-05-19T15:50:04Z
dc.date.available2026-05-19T15:50:04Z
dc.date.issued2026-02-19
dc.description.abstractThroughput prediction in cellular networks has garnered considerable interest in recent years due to its demonstrated positive impact on quality of experience. Existing proposals operate by having each user device make its own predictions, in a standalone manner, on the basis of its local measurements. Our hypothesis is that pooling of device measurements in a collaborative way can yield more accurate predictions, by allowing a broader set of observations from within a cell to be combined. To this end, we identify shortcomings in existing datasets, and then present our collaborative approach, along with an extensive evaluation. When compared to operating standalone, the results show a reduction in prediction error of up to 66% for users that have been inactive, and up to 17% for active users.en
dc.description.sponsorshipThis publication has emanated from research supported in part with the financial support of Taighde Éireann - Research Ireland under Grant number 13/RC/2077 P2. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
dc.description.versionAccepted Version
dc.format.extent6
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidRaca, Darijo
dc.identifier.authororcidZahran, Ahmed§0000-0003-3405-0324
dc.identifier.authororcidSreenan, Cormac J.§0000-0002-0767-7888
dc.identifier.authororcidTiwari, Abhishek
dc.identifier.authororcidGupta, Riten
dc.identifier.authororcidErenli, Kai
dc.identifier.authororcidGuetl, Christian
dc.identifier.authororcidJararweh, Yaser
dc.identifier.authororcidJansen, Jim
dc.identifier.citationRaca, D, Zahran, A, Sreenan, C J, Tiwari, A & Gupta, R 2026, Harnessing collaboration to improve the accuracy of throughput prediction in cellular networks. in K Erenli, C Guetl, Y Jararweh & J Jansen (eds), 2025 3rd International Conference on Foundation and Large Language Models, FLLM 2025. 2025 3rd International Conference on Foundation and Large Language Models, FLLM 2025, Institute of Electrical and Electronics Engineers Inc., pp. 1284-1289, 2025 3rd International Conference on Foundation and Large Language Models, FLLM 2025, Vienna, Austria, 25/11/25. https://doi.org/10.1109/FLLM67465.2025.11391126
dc.identifier.doi10.1109/FLLM67465.2025.11391126
dc.identifier.endpage1289
dc.identifier.isbn9798331594091
dc.identifier.otherORCID: /0000-0003-3405-0324/work/215180721
dc.identifier.startpage1284
dc.identifier.urihttps://hdl.handle.net/10468/18790
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofseries2025 3rd International Conference on Foundation and Large Language Models, FLLM 2025
dc.relation.urihttps://www.scopus.com/pages/publications/105035919796
dc.rights© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsopen access
dc.statusPeer reviewed
dc.subjectCellular networks
dc.subjectCollaborative
dc.subjectMachine learning
dc.subjectMeasurement
dc.subjectThroughput prediction
dc.subject[ComputerScience]
dc.titleHarnessing collaboration to improve the accuracy of throughput prediction in cellular networksen
dc.typeConference item
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