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

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dc.contributor.author Estrada Jiménez, Juan Carlos
dc.contributor.author Chen Hu, Kun
dc.contributor.author Fernández-Getino García, María Julia
dc.contributor.author García-Armada, Ana
dc.date.accessioned 2021-05-20T07:49:35Z
dc.date.available 2021-05-20T07:49:35Z
dc.date.issued 2019
dc.identifier.bibliographicCitation Estrada-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.
dc.identifier.issn 2169-3536
dc.identifier.uri http://hdl.handle.net/10016/32688
dc.description.abstract Superimposed 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.
dc.format.extent 9
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2019, IEEE
dc.subject.other Channel estimation
dc.subject.other Data interference
dc.subject.other FBMC
dc.subject.other Superimposed training
dc.title Power Allocation and Capacity Analysis for FBMC-OQAM With Superimposed Training
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ACCESS.2019.2909405
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2014-59255-C3-3-R
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-2-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 46968
dc.identifier.publicationlastpage 46976
dc.identifier.publicationtitle IEEE Access
dc.identifier.publicationvolume 7
dc.identifier.uxxi AR/0000023733
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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