Nonlinearity compensation for terahertz communications through neural networks

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dc.contributor.authorAbdullah, M.
dc.contributor.authorHe, J.
dc.contributor.authorShehata, M.
dc.contributor.authorWang, K.
dc.contributor.authorWithayachumnankul, W.
dc.date.issued2025
dc.description.abstractThe terahertz communications band in the 252 to 325 GHz range has been recently explored for its potential to meet the stringent requirements for the emerging sixth generation of wireless communications. However, there are several challenges, including noise and nonlinearity, that hinder efficient implementations. This paper aims to address these limitations in terahertz communications through convolutional neural networks (CNN) enhanced by the domain knowledge from traditional Volterra filters. The proposed model achieves a 2.28 dB improvement in total harmonic distortion (THD) compared to the Volterra equalizing method and also shows a significant SNR improvement. In general, this work can significantly enhance the reliability and performance of terahertz communications systems, paving the way for the realization of advanced wireless applications.
dc.description.statementofresponsibilityMariam Abdullah, Jiayuan He, Mohamed Shehata, Ke Wang, Withawat Withayachumnankul
dc.identifier.citationOptics Express, 2025; 33(5):11178-11191
dc.identifier.doi10.1364/oe.541925
dc.identifier.issn1094-4087
dc.identifier.issn1094-4087
dc.identifier.orcidAbdullah, M. [0000-0001-6562-4453]
dc.identifier.orcidWithayachumnankul, W. [0000-0003-1155-567X]
dc.identifier.urihttps://hdl.handle.net/2440/146012
dc.language.isoen
dc.publisherOptica Publishing Group
dc.relation.granthttp://purl.org/au-research/grants/arc/DP220100489
dc.rights©2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
dc.source.urihttps://doi.org/10.1364/oe.541925
dc.subjectneural networks; nonlinearity compensation; terahertz communications systems
dc.titleNonlinearity compensation for terahertz communications through neural networks
dc.typeJournal article
pubs.publication-statusPublished

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