Adaptive SOVA for 3GPP-LTE Receivers

dc.contributor.authorBlánquez-Casado, Francisco
dc.contributor.authorMartín-Vega, Francisco-Javier
dc.contributor.authorMorales-Jiménez, David
dc.contributor.authorGómez-Paredes, Gerardo
dc.contributor.authorEntrambasaguas-Muñoz, José Tomás
dc.date.accessioned2024-09-25T09:45:46Z
dc.date.available2024-09-25T09:45:46Z
dc.date.issued2014-06
dc.departamentoIngeniería de Comunicaciones
dc.description.abstractTurbo codes are extensively used in wireless communication systems and have been adopted as the channel coding scheme for next generation cellular standards. The complexity associated with the decoding process is an important issue. In this paper, we propose an adaptive Soft Output Viterbi Algorithm (adSOVA) based turbo decoder which is proved to reduce complexity without experiencing a degradation in error correction performance. The proposed adSOVA is evaluated in a long term evolution (LTE) downlink scenario and compared with the SOVA and the Max-Log-MAP algorithms. Simulation results show that a complexity reduction of 40% can be achieved with respect to the conventional SOVA with no BLock Error Rate (BLER) degradationes_ES
dc.identifier.citationF. Blanquez-Casado, F. J. Martin-Vega, D. Morales-Jimenez, G. Gomez and J. T. Entrambasaguas, "Adaptive SOVA for 3GPP-LTE Receivers," in IEEE Communications Letters, vol. 18, no. 6, pp. 991-994, June 2014, doi: 10.1109/LCOMM.2014.2316160.es_ES
dc.identifier.doi10.1109/LCOMM.2014.2316160
dc.identifier.urihttps://hdl.handle.net/10630/33188
dc.language.isoenges_ES
dc.publisherIEEE Xplorees_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectComunicación inalámbricaes_ES
dc.subject.otherLTEes_ES
dc.subject.otherTurbo codeses_ES
dc.subject.otherChannel codinges_ES
dc.titleAdaptive SOVA for 3GPP-LTE Receiverses_ES
dc.typejournal articlees_ES
dc.type.hasVersionSMURes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication8eef6134-cf8a-4ffb-a92f-174a2743f9c9
relation.isAuthorOfPublicationf4f194c9-ddcb-4b50-abf2-78d6792a5f8f
relation.isAuthorOfPublication.latestForDiscovery8eef6134-cf8a-4ffb-a92f-174a2743f9c9

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