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End-to-End Evaluation of the Int5Gent Platform: Integrating 5G Enabling Technologies in a Holistic Service to Physical Layer Platform

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0002-3717-8107
cris.virtual.orcid0000-0003-1817-5370
cris.virtualsource.department8883c116-0879-4e00-9db9-897ea0a6ef15
cris.virtualsource.departmentb495c208-a27d-49b2-a309-8acaef1f1428
cris.virtualsource.orcid8883c116-0879-4e00-9db9-897ea0a6ef15
cris.virtualsource.orcidb495c208-a27d-49b2-a309-8acaef1f1428
dc.contributor.authorKyriazi, E.
dc.contributor.authorToumasis, P.
dc.contributor.authorKatsikas, G.
dc.contributor.authorPapadopoulos, L.
dc.contributor.authorCharlaftis, V
dc.contributor.authorMeysmans, Caro
dc.contributor.authorBrenes, J.
dc.contributor.authorDiakakis, D.
dc.contributor.authorMesogiti, I
dc.contributor.authorWasko, W.
dc.contributor.authorMunoz, R.
dc.contributor.authorLarrabeiti, D.
dc.contributor.authorHe, Z. S.
dc.contributor.authorDayan, E.
dc.contributor.authorGarcia-Mila, I
dc.contributor.authorFernandez-Palacios, J. P.
dc.contributor.authorManso, C.
dc.contributor.authorMiralpeix, C.
dc.contributor.authorKorsic, L.
dc.contributor.authorFabrega, J. M.
dc.date.accessioned2026-03-24T15:14:15Z
dc.date.available2026-03-24T15:14:15Z
dc.date.createdwos2025-11-28
dc.date.issued2026
dc.description.abstractThe Int5Gent approach integrates advanced technologies across the data plane, control plane, and application layers to enable high-capacity, low-latency, and flexible network solutions for demanding vertical applications in beyond 5G (B5G) networks. Focusing on edge computing, Sigma-Delta over-Fiber (SDoF), Digital Radio-over-Fiber (D-RoF), Analog Radio-over-Fiber (A-RoF), millimeter-wave (mmWave) backhaul, and GPU-enabled processing, it supports Artificial Intelligence (AI)-driven use cases such as real-time video analysis and critical communication for Public Protection and Disaster Relief (PPDR). The platform demonstrators show: a) real-time human detection and AI inference at 15 frames per second (fps), showcasing network resiliency and integration of A-RoF with D-band transceivers for high-speed video transmission and b) the system's ability to monitor critical infrastructure (railway), using edge-based processing for safety-critical applications and dynamic transport slicing for operational needs. Both demonstrators validated the platform's ability to orchestrate and optimize resources in real-time, offering scalable, resilient solutions for future 5G deployments.
dc.description.wosFundingTextThe work is supported by H2020 5GPPP Phase II project Int5Gent (957403).
dc.identifier.doi10.1109/mcom.001.2500076
dc.identifier.issn0163-6804
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58944
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage134
dc.source.endpage140
dc.source.issue3
dc.source.journalIEEE COMMUNICATIONS MAGAZINE
dc.source.numberofpages7
dc.source.volume64
dc.title

End-to-End Evaluation of the Int5Gent Platform: Integrating 5G Enabling Technologies in a Holistic Service to Physical Layer Platform

dc.typeJournal article
dspace.entity.typePublication
imec.internal.crawledAt2025-12-01
imec.internal.sourcecrawler
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