Estimation with Mean Square Error for Real-Valued Channel Quantization

dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorTelecom ParisTech
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-04T12:30:11Z
dc.date.accessioned2022-12-19T17:59:23Z
dc.date.available2019-10-04T12:30:11Z
dc.date.available2022-12-19T17:59:23Z
dc.date.created2019-10-04T12:30:11Z
dc.date.issued2014-01-01
dc.identifier2014 Globecom Workshops (gc Wkshps). New York: Ieee, p. 275-280, 2014.
dc.identifier2166-0069
dc.identifierhttp://hdl.handle.net/11449/184801
dc.identifierWOS:000381558700049
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5365854
dc.description.abstractInterference is usually viewed as an obstacle to communication in wireless networks, so we develop a new methodology to quantize real-valued channels in order to realize interference alignment onto a lattice. One key step is the introduction of an error criterion that measures, in a probabilistic sense, the error between the desired quantity and our estimate of it. So, in this work, we focus on choosing our estimate to minimize the expected or mean value of the square of the error, referred to as a minimum mean-square-error (MMSE) criterion.
dc.languageeng
dc.publisherIeee
dc.relation2014 Globecom Workshops (gc Wkshps)
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.titleEstimation with Mean Square Error for Real-Valued Channel Quantization
dc.typeActas de congresos


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