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A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization

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A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization

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dc.contributor.author Shahjehan, Waleed es_ES
dc.contributor.author Shah, Syed Waqar es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.contributor.author Bosch Roig, Ignacio es_ES
dc.date.accessioned 2019-01-19T21:00:31Z
dc.date.available 2019-01-19T21:00:31Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1099-4300 es_ES
dc.identifier.uri http://hdl.handle.net/10251/115855
dc.description.abstract [EN] Aiming at the limitations of the existing Limited Feedback Interference Alignment algorithms, this paper proposes a direct codeword selection scheme that maximizes the lower-bound of the user rate and reduces the sum rate loss by integrating the Bit Allocation algorithm. The target signal is decoded using the maximum signal to interference plus noise ratio (MAX-SINR) algorithm. Moreover, low complexity and global searching mechanisms are deployed to select the optimized codewords from the generated sets of codewords that approach the ideal precoder. Simulation results show that the proposed algorithm effectively improves the rate lower-bound of the system user as compared with the existing state-of-the-art algorithms. es_ES
dc.description.sponsorship This research was funded by Ministerio de Economia, Industria y Competitividad, Gobierno de Espana grant number BIA2017-87573-C2-2-P. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation AEI/BIA2017-87573-C2-2-P-AR es_ES
dc.relation.ispartof Entropy es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Interference Alignment es_ES
dc.subject Computational complexity es_ES
dc.subject MAX-SINR es_ES
dc.subject Codewords selection es_ES
dc.subject Spectral efficiency es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/e20080546 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Shahjehan, W.; Shah, SW.; Lloret, J.; Bosch Roig, I. (2018). A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization. Entropy. 20(8):1-19. doi:10.3390/e20080546 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/e20080546 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela 375141 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES


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