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dc.contributor.authorAngoue Avele, Marc Bernice
dc.contributor.authorPérez-Adán, Darian
dc.contributor.authorPereira-Ruisánchez, Dariel
dc.date.accessioned2023-11-15T19:02:14Z
dc.date.available2023-11-15T19:02:14Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/2183/34252
dc.descriptionCursos e Congresos, C-155es_ES
dc.description.abstract[Abstract] In thiswork, we investigate pilot attacks for 5G single-cell multi-user massive multipleinput multiple-output (MaMIMO) systems with a single-antenna active eavesdropper and a single-antenna jammer operating in time-division duplex (TDD) schemes. Firstly, we describe the attacks when the base station (BS) estimates the channel state information (CSI) based on the uplink pilot transmissions. Finally, we propose a reinforcement learning (RL)-based framework for maximizing the system sum rate that proved robust to the eavesdropping and jamming attackses_ES
dc.description.sponsorshipCITIC is funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS).
dc.language.isoenges_ES
dc.publisherUniversidade da Coruña, Servizo de Publicaciónses_ES
dc.relation.urihttps://doi.org/10.17979/spudc.000024.02
dc.rightsAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es*
dc.subjectSistemas 5G monocelulareses_ES
dc.subjectMaMIMOes_ES
dc.subjectAprendizaje por refuerzoes_ES
dc.titleEavesdropping and Jamming via Pilot Attacks in 5G Massive MIMOes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage9es_ES
UDC.endPage15es_ES
UDC.conferenceTitleVI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruñaes_ES


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