Joint Beam Steering and Direct Antenna Multimodulation Using Time-Modulated Arrays

UDC.coleccionInvestigación
UDC.departamentoEnxeñaría de Computadores
UDC.endPage42716
UDC.grupoInvGrupo de Tecnoloxía Electrónica e Comunicacións (GTEC)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.issue20
UDC.journalTitleIEEE Internet of Things Journal
UDC.startPage42702
UDC.volume12
dc.contributor.authorManeiro-Catoira, Roberto
dc.contributor.authorBogdan, Grzegorz
dc.contributor.authorGodziszewski, Konrad
dc.contributor.authorBrégains, Julio
dc.contributor.authorGarcía-Naya, José A.
dc.contributor.authorYashchyshyn, Yevhen
dc.contributor.authorCastedo, Luis
dc.date.accessioned2025-10-09T09:59:24Z
dc.date.available2025-10-09T09:59:24Z
dc.date.issued2025-10-15
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUG
dc.description.abstract[Abstract]: In this article, we introduce a novel architecture-independent technique for time-modulated arrays (TMAs) that enables simultaneous direct-antenna multimodulation (DAMM) and beam steering. We validated the approach across a remarkably broad variety of modulation constellations, confirming its ability to implement arbitrary direct-antenna IQ modulation. This flexibility makes the technique highly suitable for Internet of Things (IoT) applications spanning scenarios that demand either robust communication or high-spectral efficiency, all on a single energy-efficient, low-cost hardware platform. The proposed method operates within the available TMA bandwidth and achieves precise beam steering without relying on computationally intensive optimization algorithms. Unlike previous studies that evaluate TMAs in isolation, we design and characterize a fully integrated transmitter that combines DAMM and beam steering functionalities. The resulting TMA-based DAMM transmitter employs a reduced hardware architecture, delivering both cost and energy savings ideally matched to resource-constrained, low-latency IoT deployments.
dc.description.sponsorshipThis work was supported in part by the Xunta de Galicia under Grant ED431C 2024/18; in part by MCIN/AEI/10.13039/501100011033 under Grant PID2022-137099NB-C42 (MADDIE); in part by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR under Project TED2021-130240B-I00 (IVRY); and in part by the Open Access Charge: Universidade da Coruña/CISUG.
dc.description.sponsorshipXunta de Galicia; ED431C 2024/18
dc.identifier.citationR. Maneiro-Catoira et al., "Joint Beam Steering and Direct Antenna Multimodulation Using Time-Modulated Arrays," in IEEE Internet of Things Journal, vol. 12, no. 20, pp. 42702-42716, 15 Oct.15, 2025, doi: 10.1109/JIOT.2025.3594557
dc.identifier.doi10.1109/JIOT.2025.3594557
dc.identifier.issn2327-4662
dc.identifier.urihttps://hdl.handle.net/2183/45935
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2022-137099NB-C42/ES/TECNOLOGIAS DE COMUNICACION, CODIFICACION Y PROCESADO PARA REDES CLASICAS-CUANTICAS DE PROXIMA GENERACION
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/TED2021-130240B-I00/ES/DETECCIÓN INTEGRADA DE VÍDEO Y RADAR PARA EL POSICIONAMIENTO EN INTERIORES DE PERSONAS SIN DISPOSITIVOS Y CON GARANTÍA DE PRIVACIDAD BASADA EN EDGE AI
dc.relation.urihttps://doi.org/10.1109/JIOT.2025.3594557
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAntenna arrays
dc.subjectBeam steering
dc.subjectModulation
dc.titleJoint Beam Steering and Direct Antenna Multimodulation Using Time-Modulated Arrays
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
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relation.isAuthorOfPublicationa3e17816-543c-44d2-a28d-c815138c4707
relation.isAuthorOfPublication51856f98-546d-4614-b93e-932e23e96895
relation.isAuthorOfPublication.latestForDiscoverydea37bb9-4430-472b-a48c-c5a8ca42b84b

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