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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.accessioned2026-03-19T15:48:47Z
dc.date.available2026-03-19T15:48:47Z
dc.date.createdwos2025-10-31
dc.date.issued2025
dc.description.abstractThe Int5Gent project 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 Radio-overFiber (SD-RoF), Digital RoF (D-RoF), Analog RoF (A-RoF), millimeter-wave (mmWave) backhaul, and GPU-enabled processing, it supports AI-driven use cases such as real-time video analysis and critical communication for Public Protection and Disaster Relief (PPDR). The project's demonstrators show: a) real-time human detection and AI inference at 15 frames per second (fps), showcasing network resiliency and integration of ARoF 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.identifier.doi10.1109/EUCNC/6GSUMMIT63408.2025.11036888
dc.identifier.isbn979-8-3503-9181-7
dc.identifier.issn2475-6490
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58891
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherIEEE
dc.source.beginpage823
dc.source.conferenceJoint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
dc.source.conferencedate2025-06-03
dc.source.conferencelocationPoznan
dc.source.endpage828
dc.source.journal2025 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT
dc.source.numberofpages6
dc.title

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

dc.typeProceedings paper
dspace.entity.typePublication
imec.identified.statusLibrary
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
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