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Market and Sharing Alternatives for the Provision of Massive Machine-Type and Ultra-Reliable Low-Latency Communications Services over a 5G Network

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Market and Sharing Alternatives for the Provision of Massive Machine-Type and Ultra-Reliable Low-Latency Communications Services over a 5G Network

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dc.contributor.author Moreno-Cardenas, Edison es_ES
dc.contributor.author Guijarro, Luis es_ES
dc.date.accessioned 2024-05-02T18:08:24Z
dc.date.available 2024-05-02T18:08:24Z
dc.date.issued 2023-12 es_ES
dc.identifier.uri http://hdl.handle.net/10251/203926
dc.description.abstract [EN] The objective of this paper is to analyze economic alternatives for the provision of ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC) services over a fifth-generation (5G) network. Two business models, a monopoly and a duopoly, are studied and two 5G network scenarios are analyzed: a 5G network where the network resources are shared between the two services without service priority, and a 5G network with network slicing that allows for URLLC traffic to have a higher priority. Microeconomics is used to model the behavior of users and operators, and game theory is used to model the strategic interaction between users and operators. The results show that a monopoly over a 5G network with network slicing is the most efficient way to provide both URLLC and mMTC services. es_ES
dc.description.sponsorship This work received support from various sources, including Grant PID2021-123168NB-I00 funded by MCIN/AEI, Spain/10.13039/501100011033; the European Union s A way of making Europe/ERDF, Grant TED2021-131387B-I00 funded by MCIN/AEI, Spain/10.13039/501100011033; the European Union s NextGenerationEU/RTRP; and Grant AICO/2021/138 funded by the Generalitat Valenciana, Spain. This work was also partially financed by the Government of Peru through the Bicentennial Generation Scholarship granted to the first author es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Electronics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject 5G es_ES
dc.subject URLLC es_ES
dc.subject MMTC es_ES
dc.subject Network slicing es_ES
dc.subject Queueing theory es_ES
dc.subject Game theory es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title Market and Sharing Alternatives for the Provision of Massive Machine-Type and Ultra-Reliable Low-Latency Communications Services over a 5G Network es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/electronics12244994 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123168NB-I00/ES/EVOLUCION DE LA RED DE ACCESO RADIO HACIA 6G PARA SERVICIOS MASIVOS Y DE BAJA LATENCIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2021%2F138//Diseño de servicios para la ejecución confiable y de tiempo real de aplicaciones de computación social dispersa en entornos ciberfísicos/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//TED2021-131387B-I00//REDES VERDES: HACIA REDES 6G RESPETUOSAS CON EL MEDIO AMBIENTE/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Moreno-Cardenas, E.; Guijarro, L. (2023). Market and Sharing Alternatives for the Provision of Massive Machine-Type and Ultra-Reliable Low-Latency Communications Services over a 5G Network. Electronics. 12(24). https://doi.org/10.3390/electronics12244994 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/electronics12244994 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 24 es_ES
dc.identifier.eissn 2079-9292 es_ES
dc.relation.pasarela S\507301 es_ES
dc.contributor.funder Gobierno del Perú es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
upv.costeAPC 2200 es_ES


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