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Optimum Transmission Through the Multiple-Antenna Gaussian Multiple Access Channel

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Optimum Transmission Through the Multiple-Antenna Gaussian Multiple Access Channel

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dc.contributor.author Calabuig Soler, Daniel es_ES
dc.contributor.author Gohary, Ramy H. es_ES
dc.contributor.author Yanikomeroglu, Halim es_ES
dc.date.accessioned 2017-05-30T11:02:38Z
dc.date.available 2017-05-30T11:02:38Z
dc.date.issued 2016-01
dc.identifier.issn 0018-9448
dc.identifier.uri http://hdl.handle.net/10251/82024
dc.description "(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works." es_ES
dc.description.abstract [EN] This paper studies the optimal points in the capacity region of Gaussian multiple access channels (GMACs) with constant fading, multiple antennas, and various power constraints. The points of interest maximize general rate objectives that arise in practical communication scenarios. Achieving these points constitutes the task of jointly optimizing the timesharing parameters, the input covariance matrices, and the order of decoding used by the successive interference cancellation receiver. To approach this problem, Carathéodory s theorem is invoked to represent time-sharing and decoding orders jointly as a finite-dimensional matrix variable. This variable enables us to use variational inequalities to extend results pertaining to problems with linear rate objectives to more general, potentially nonconvex, problems, and to obtain a necessary and sufficient condition for the optimality of the transmission parameters in a wide range of problems. Using the insights gained from this condition, we develop and analyze the convergence of an algorithm for solving, otherwise daunting, GMAC-based optimization problems. es_ES
dc.description.sponsorship D. Calabuig was supported by Marie Curie International Outgoing Fellowship within the European Commission, Research Executive Agency, through the COMIC Project under Grant 253990. R. H. Gohary and H. Yanikomeroglu were supported in part by Huawei Canada Company, Ltd., and in part by the Ontario Ministry of Economic Development and Innovations within the Ontario Research Fund through the Research Excellence Program. This paper was presented at the 2013 IEEE International Symposium on Information Theory and the 2014 IEEE International Workshop on Signal Processing Advances in Wireless Communications. en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation Huawei Canada Company, Ltd. es_ES
dc.relation Ontario Ministry of Economic Development and Innovations within the Ontario Research Fund through the Research Excellence Program es_ES
dc.relation.ispartof IEEE Transactions on Information Theory es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Multiuser channels es_ES
dc.subject Optimization es_ES
dc.subject Convergence es_ES
dc.title Optimum Transmission Through the Multiple-Antenna Gaussian Multiple Access Channel es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TIT.2015.2502244
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/253990/EU es_ES
dc.rights.accessRights Abierto 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 Calabuig Soler, D.; Gohary, RH.; Yanikomeroglu, H. (2016). Optimum Transmission Through the Multiple-Antenna Gaussian Multiple Access Channel. IEEE Transactions on Information Theory. 62(1):230-243. doi:10.1109/TIT.2015.2502244 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/TIT.2015.2502244 es_ES
dc.description.upvformatpinicio 230 es_ES
dc.description.upvformatpfin 243 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 62 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 299253 es_ES
dc.contributor.funder European Commission


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