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Channel Quantization Based on the Statistical Characterization of Spatially Correlated Fading

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Channel Quantization Based on the Statistical Characterization of Spatially Correlated Fading

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dc.contributor.author Domene Oltra, Fernando es_ES
dc.contributor.author Piñero Sipán, María Gemma es_ES
dc.contributor.author Diego Antón, María de es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.date.accessioned 2016-06-07T11:47:45Z
dc.date.available 2016-06-07T11:47:45Z
dc.date.issued 2015-09
dc.identifier.issn 0018-9545
dc.identifier.uri http://hdl.handle.net/10251/65410
dc.description.abstract Multiuser multiple-input-multiple-output (MUMIMO) techniques, such as scheduling and precoding, have shown to improve the spectral efficiency of wireless communication systems. However, these techniques require an accurate knowledge of the channel of the different users at the transmitter. In frequency-division duplex (FDD) systems, this information has to be provided by the different users, motivating the research of efficient limited feedback schemes. This paper presents a novel statistical characterization of the spatial multiple-input-single-output (MISO) channel. In this characterization, one antenna is selected as the reference, and the channel fading experienced from this antenna is also considered to be the reference. The conditional probability density functions (CPDFs) of the envelope and phase of the channel fading coefficients from the rest of the antennas (denoted as nonreference channel fading and nonreference antennas) are obtained given the reference one. Based on this statistical characterization, this paper proposes a channel quantization scheme that individually quantizes the channel fading coefficient of each transmit antenna that is seen by each user. The envelope and phase of the reference channel fading are quantized considering a Rayleigh distribution and a uniform distribution, respectively. The nonreference channel fading coefficients are quantized according to their respective CPDFs, which in turn depend on the spatial correlation between each channel fading and the reference channel fading. Numerical simulations have been carried out to compare the performance of the proposed conditional quantization (CQ) scheme with a polar quantization (PQ) and with a quantization based on the Karhunen-Loève (KL) transform. PQ does not consider spatial correlation, CQ needs one spatial correlation coefficient per nonreference antenna, and the KL scheme makes use of the full spatial correlation matrix. The results show that CQ achieves a lower quantization mean square error (MSE) than the other two schemes in highly and moderately correlated environments. When the spatial channel model (SCM) is considered, the proposed scheme allows the spatial correlation to be successfully exploited in arrays with N=hbox4 and N=hbox8 transmit antennas for antenna separations that are lower than d=hbox1.3lambda and d=hbox0.75lambda, respectively es_ES
dc.description.sponsorship This work was supported by European Union ERDF and Spanish Government through Project TEC2012-38142-C04 and Generalitat Valenciana through Project PROME-TEOII/2014/003. en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Transactions on Vehicular Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Communication channels es_ES
dc.subject Fading channels es_ES
dc.subject MIMO systems es_ES
dc.subject Wireless telecommunication systems es_ES
dc.subject Frequency division duplex system es_ES
dc.subject Full spatial correlation matrix es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Channel Quantization Based on the Statistical Characterization of Spatially Correlated Fading es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TVT.2014.2363170
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F003/ES/Computación y comunicaciones de altas prestaciones y aplicaciones en ingeniería/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Domene Oltra, F.; Piñero Sipán, MG.; Diego Antón, MD.; Gonzalez, A. (2015). Channel Quantization Based on the Statistical Characterization of Spatially Correlated Fading. IEEE Transactions on Vehicular Technology. 64(9):3931-3943. https://doi.org/10.1109/TVT.2014.2363170 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/TVT.2014.2363170 es_ES
dc.description.upvformatpinicio 3931 es_ES
dc.description.upvformatpfin 3943 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 64 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 297054 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder European Regional Development Fund es_ES


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