Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/28491
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dc.contributor.authorLucas-Estañ, M. Carmen-
dc.contributor.authorGozalvez, Javier-
dc.contributor.otherDepartamentos de la UMH::Ingeniería de Comunicacioneses_ES
dc.date.accessioned2022-11-29T10:53:45Z-
dc.date.available2022-11-29T10:53:45Z-
dc.date.created2022-02-24-
dc.identifier.citationIEEE Transactions on vehicular technology, vol. 71, no. 4, april 2022es_ES
dc.identifier.issn1939-9359-
dc.identifier.issn0018-9545-
dc.identifier.urihttps://hdl.handle.net/11000/28491-
dc.description.abstract5G and beyond networks should efficiently support services with stringent and diverse QoS requirements. This includes services for verticals that demand Ultra Reliable and Low Latency Communications (URLLC). Scheduling strongly impacts the communication latency, and 5G NR introduces grant-free scheduling to reduce the latency at the radio level. Grant-free scheduling can use shared resources and the transmission of K replicas per packet to increase the packet delivery ratio and efficiently utilize the spectrum. Previous studies have shown that existing 5G NR grant-free scheduling has limitations to sustain URLLC requirements for aperiodic (or uncertain) and deterministic traffic that is characteristic of verticals such as Industry 4.0 or manufacturing. In this context, this paper proposes and evaluates a novel grant-free scheduling scheme that can efficiently support deterministic and aperiodic uplink traffic. The scheme avoids packet collisions among UEs sharing resources using a priority-based contention resolution process that relies on the transmission of announcement messages in minislots and a local channel sensing process. This study demonstrates that the proposed sensing-based grant-free scheduling scheme outperforms current 5G NR grant-free scheduling implementations, and can support a higher number of UEs with URLLC and deterministic requirements with a considerably lower number of radio resources.es_ES
dc.description.sponsorshipThis work has been funded by MCIN/AEI/10.13039/ 501100011033 through the project PID2020-115576RB-I00-
dc.description.sponsorshipand FSE funds through the grant PRE2018-084743,-
dc.description.sponsorshipthe Generalitat Valenciana through the project CIGE/2021/096,-
dc.description.sponsorshipby a research grant awarded by the Vicerrectorado de Investigación of the UMH (2022).-
dc.formatapplication/pdfes_ES
dc.format.extent13es_ES
dc.language.isoenges_ES
dc.publisherUniversidad Miguel Hernández de Elchees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGrant-freees_ES
dc.subjectschedulinges_ES
dc.subjectconfigured grantes_ES
dc.subjectURLLCes_ES
dc.subjectultra reliablees_ES
dc.subjectlow latencyes_ES
dc.subjectdeterministices_ES
dc.subjectaperiodices_ES
dc.subject5Ges_ES
dc.subject6Ges_ES
dc.subjectIndustry 4.0es_ES
dc.subjectmanufacturinges_ES
dc.subject.otherCDU::6 - Ciencias aplicadas::62 - Ingeniería. Tecnología::621 - Ingeniería mecánica en general. Tecnología nuclear. Electrotecnia. Maquinaria::621.3 - Ingeniería eléctrica. Electrotecnia. Telecomunicacioneses_ES
dc.titleSensing-Based Grant-Free Scheduling for Ultra Reliable Low Latency and Deterministic Beyond 5G Networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1109/ETFA52439.2022.9921528-
dc.relation.publisherversionhttps://doi.org/10.1109/ETFA52439.2022.9921528-
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