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Blind Source Separation for Full-Duplex Systems: Potential and Challenges

dc.contributor.authorFouda, Mohamed E.
dc.contributor.authorShen, Chung An
dc.contributor.authorEltawil, Ahmed E.
dc.date.accessioned2022-01-17T13:56:14Z
dc.date.available2022-01-17T13:56:14Z
dc.date.issued2021
dc.date.submitted2021-05-14
dc.identifier.citationFouda, M. E., Shen, C.-A., & Eltawil, A. E. (2021). Blind Source Separation For Full-Duplex Systems: Potential and Challenges. IEEE Open Journal of the Communications Society, 2, 1379–1389. doi:10.1109/ojcoms.2021.3086105
dc.identifier.issn2644-125X
dc.identifier.doi10.1109/OJCOMS.2021.3086105
dc.identifier.urihttp://hdl.handle.net/10754/675007
dc.description.abstractFull-duplex communications systems that transmit and receive simultaneously suffer self-interference due to the mixing of the transmitted signal and the weaker received signal at the same node. The problem becomes compounded in Multi-Input Multi-Output (MIMO) systems, where considerable overhead is dedicated to training. In this article, we discuss using blind source separation techniques, namely Independent Component Analysis (ICA) to reduce training overhead in MIMO in-band full-duplex wireless communication systems. Practical limitations are discussed and experimental results that compare ICA to traditional Least Square approaches are presented, showing the superiority of ICA, especially in low SNR regimes.
dc.description.sponsorshipThis work was support in part by National Science Foundation under Award 1710746.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9446622/
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleBlind Source Separation for Full-Duplex Systems: Potential and Challenges
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudia Arabia
dc.identifier.journalIEEE Open Journal of the Communications Society
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionElectrical Engineering and Computer Science Department, University of California at Irvine, Irvine, CA, USA
dc.contributor.institutionDepartment of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
dc.identifier.volume2
dc.identifier.pages1379-1389
kaust.personEltawil, Ahmed E.
dc.date.accepted2021-05-30
dc.identifier.eid2-s2.0-85120920303
refterms.dateFOA2022-01-17T13:57:18Z


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This work is licensed under a Creative Commons Attribution 4.0 License.
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