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Power Allocation and Capacity Analysis for FBMC-OQAM With Superimposed Training

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorEstrada Jiménez, Juan Carlos
dc.contributor.authorChen Hu, Kun
dc.contributor.authorFernández-Getino García, María Julia
dc.contributor.authorGarcía-Armada, Ana
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-05-20T07:49:35Z
dc.date.available2021-05-20T07:49:35Z
dc.date.issued2019
dc.description.abstractSuperimposed training (ST) is a semiblind channel estimation technique, proposed for orthogonal frequency division multiplexing (OFDM), where training sequences are added to data symbols, avoiding the use of dedicated pilot-subcarriers, and increasing the available bandwidth compared with pilot symbol assisted modulation (PSAM). Filter bank multicarrier offset quadrature amplitude modulation (FBMC-OQAM) is a promising waveform technique considered to replace the OFDM, which takes advantage of well-designed filters to avoid the use of cyclic prefix and reduce the out-band-emissions. In this paper, we provide the expressions of the average channel capacity of the FBMC-OQAM combined with either PSAM or ST schemes, considering imperfect channel estimation and the presence of the pilot sequences. In order to compute the capacity expression of our proposal, ST-FBMC-OQAM, we analyze the channel estimation error and its variance. The average channel capacity is deduced considering the noise, data interference from ST, and the intrinsic self-interference of the FBMC-OQAM. Additionally, to maximize the average channel capacity, the optimal value of data power allocation is also obtained. The simulation results confirm the validity of the capacity analysis and demonstrate the superiority of the ST-FBMC-OQAM over existing proposals.en
dc.format.extent9
dc.identifier.bibliographicCitationEstrada-Jimenez, J. C., Chen-Hu, K., Garcia, M. J. F. G. & Garcia Armada, A. (2019). Power Allocation and Capacity Analysis for FBMC-OQAM With Superimposed Training. IEEE Access, vol. 7, pp. 46968–46976.en
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2909405
dc.identifier.issn2169-3536
dc.identifier.publicationfirstpage46968
dc.identifier.publicationlastpage46976
dc.identifier.publicationtitleIEEE Accessen
dc.identifier.publicationvolume7
dc.identifier.urihttps://hdl.handle.net/10016/32688
dc.identifier.uxxiAR/0000023733
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDGobierno de España. TEC2014-59255-C3-3-Res
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-Res
dc.rights© 2019, IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherChannel estimationen
dc.subject.otherData interferenceen
dc.subject.otherFBMCen
dc.subject.otherSuperimposed trainingen
dc.titlePower Allocation and Capacity Analysis for FBMC-OQAM With Superimposed Trainingen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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