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Neural-Network-Based Interference Cancellation for MRC and EGC Receivers in Large Intelligent Surfaces for 6G

2025-05-21Artigo científico Acesso aberto
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dc.contributor.authorMarques da Silva, Mário
dc.contributor.authorPembele, Gelson
dc.contributor.authorDinis, Rui
dc.contributor.institutionFaculdade de Ciências e Tecnologia (FCT)
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2025-07-30T21:20:05Z
dc.date.available2025-07-30T21:20:05Z
dc.date.issued2025-05-21
dc.descriptionFunding Information: This work is funded by FCT/MECI through national funds and when applicable co-funded EU funds under UID/50008: Instituto de Telecomunicações. Publisher Copyright: © 2025 by the authors.
dc.description.abstractLarge Intelligent Surfaces (LISs) have emerged as a promising technology for enhancing spectral efficiency and communication capacity in the Sixth Generation of Cellular Communications (6G). Low-complexity receiver architectures for LISs rely on Maximum Ratio Combining (MRC) and Equal Gain Combining (EGC) receivers, often complemented by iterative detection techniques for interference mitigation. In this work, we propose a novel approach where a neural network replaces iterative interference cancellation, learning to estimate the transmitted signals directly from the received data, mitigating interference without requiring iterative cancellation. Moreover, this also eliminates the need for channel matrix inversion at each frequency component, as required for Zero Forcing (ZF) and Minimum Mean Squared Error (MMSE) receivers, reducing computational complexity while still achieving a good performance improvement. The neural network parameters are optimized to balance performance and computational cost.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent15
dc.format.extent1316117
dc.identifier.doi10.3390/electronics14102083
dc.identifier.issn2079-9292
dc.identifier.otherPURE: 123339391
dc.identifier.otherPURE UUID: 1761be3a-d199-4cb6-8a04-79a10aea7a8b
dc.identifier.otherScopus: 105006664111
dc.identifier.otherWOS: 001495978000001
dc.identifier.otherORCID: /0000-0002-8520-7267/work/188937169
dc.identifier.urihttp://hdl.handle.net/10362/185767
dc.identifier.urlhttps://www.scopus.com/pages/publications/105006664111
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001495978000001
dc.language.isoeng
dc.peerreviewedyes
dc.subject6G
dc.subjectLIS systems
dc.subjectNeural networks
dc.subjectReceiver types
dc.subjectControl and Systems Engineering
dc.subjectSignal Processing
dc.subjectHardware and Architecture
dc.subjectComputer Networks and Communications
dc.subjectElectrical and Electronic Engineering
dc.titleNeural-Network-Based Interference Cancellation for MRC and EGC Receivers in Large Intelligent Surfaces for 6Gen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue10
degois.publication.lastPage15
degois.publication.titleElectronics (Switzerland)
degois.publication.volume14
dspace.entity.typePublication
rcaap.rightsopenAccess

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