Logo do repositório
 
Publicação

Resource Allocation Schemes for Scalable Panel-Based LIS Surfaces

2026Artigo científico Acesso aberto
Ver registo simples
dc.contributor.authorPereira, Andreia
dc.contributor.authorConceição, Filipe
dc.contributor.authorRusek, Fredrik
dc.contributor.authorDinis, Rui
dc.contributor.authorGomes, Marco
dc.contributor.institutionFaculdade de Ciências e Tecnologia (FCT)
dc.contributor.pblInstitute of Electrical and Electronics Engineers (IEEE)
dc.date.accessioned2026-09-02T14:57:01Z
dc.date.available2026-09-02T14:57:01Z
dc.date.issued2026
dc.descriptionPublisher Copyright: © 2020 IEEE.
dc.description.abstractPanel-based large intelligent surface (LIS) systems, where each panel comprises a lower, but significant, number of antennas, and is equipped with several baseband outputs (generally much smaller than the number of terminals), allow for a direct dimensionality reduction. However, such dimensionality reduction may not be enough to simplify the overall system. This paper focuses on fully decentralized system architectures that allow for promising performances while requiring low, or even no, central data processing. This paper proposes panel-selection and panel-terminal association algorithms for decentralized panel-based LIS communication systems aiming at allocating a set of terminals to a given panel, which is limited to a given number of outputs, in a sequential or flooding manner, while maximising the minimum terminal rate. Performance results show that sequential and flooding distributed system architectures offer decent convergence rates in comparison with a centralized system architectures when selecting a proper combination of system parameters (number of panels, number of terminals, number of baseband outputs), in turn ensuring scalability. It is shown that, for a given combination of the system parameters, a max-min terminal rate achieved when considering sequential and flooding distributed system architectures can converge to the one achieved by the centralized system architecture, occurring after just a few iterations. Both the proposed sequential and flooding algorithms represent a less complex, but effective way to perform both panel selection and panel-terminal association, allowing for the deactivation of a significant portion of panels without substantially degrading the max-min terminal rate achieved by the centralized system architecture.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent15
dc.format.extent2218683
dc.identifier.doi10.1109/OJVT.2026.3652908
dc.identifier.issn2644-1330
dc.identifier.otherPURE: 171028960
dc.identifier.otherPURE UUID: d2609a04-4434-45cd-859a-5c39913fac6a
dc.identifier.otherScopus: 105027962896
dc.identifier.otherWOS: 001680965000002
dc.identifier.otherORCID: /0000-0002-8520-7267/work/225619034
dc.identifier.urihttp://hdl.handle.net/10362/206042
dc.identifier.urlhttps://www.scopus.com/pages/publications/105027962896
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001680965000002
dc.language.isoeng
dc.peerreviewedyes
dc.subjectFlooding optimisation
dc.subjectLarge Intelligent surfaces
dc.subjectMassive MIMO
dc.subjectSequential optimisation
dc.subjectSpatial resource allocation
dc.subjectAutomotive Engineering
dc.titleResource Allocation Schemes for Scalable Panel-Based LIS Surfacesen
dc.typejournal article
degois.publication.firstPage537
degois.publication.lastPage551
degois.publication.titleIEEE Open Journal of Vehicular Technology
degois.publication.volume7
dspace.entity.typePublication
rcaap.rightsopenAccess

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
Pereira_et_al._2026_..pdf
Tamanho:
2.12 MB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

Home collection (FCT)