Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels

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Show simple item record Taufiq Asyhari, A. Koch, Tobias Mirco Guillén i Fàbregas, Albert 2020-09-30T10:44:21Z 2020-09-30T10:44:21Z 2020-08-31
dc.identifier.bibliographicCitation Entropy, 22(9), 971, 34 pp.
dc.identifier.issn 1099-4300
dc.description The material in this paper was presented in part at the 2011 IEEE International Symposium on Information Theory (ISIT), Saint Petersburg, Russia, 31 July-5 August 2011 and the 49th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, USA, 28-30 September 2011.
dc.description.abstract We study the information rates of noncoherent, stationary, Gaussian, and multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbor decoding and pilot-aided channel estimation. In particular, we investigate the behavior of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity by analyzing the capacity pre-log, which is defined as the limiting ratio of the capacity to the logarithm of the SNR as the SNR tends to infinity. We demonstrate that a scheme estimating the channel using pilot symbols and detecting the message using nearest neighbor decoding (while assuming that the channel estimation is perfect) essentially achieves the capacity pre-log of noncoherent multiple-input single-output flat-fading channels, and it essentially achieves the best so far known lower bound on the capacity pre-log of noncoherent MIMO flat-fading channels. Extending the analysis to fading multiple-access channels reveals interesting relationships between the number of antennas and Doppler bandwidth in the comparative performance of joint transmission and time division multiple-access.
dc.description.sponsorship The work of A.T.A was supported in part by the Yousef Jameel Scholarship at the University of Cambridge. T. K. received funding from the European's Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 252663, from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement number 714161), and from the Spanish Ministerio de Economía y Competitividad under grant RYC-2014-16332. The work of A.G.i.F. has been funded by the European Research Council under ERC grant agreements 259663 and 725411.
dc.format.extent 34
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
dc.rights Atribución 3.0 España
dc.subject.other Achievable rates
dc.subject.other Fading
dc.subject.other High signal-to-noise ratio (SNR)
dc.subject.other Mismatched decoding
dc.subject.other Multiple-access channels
dc.subject.other Multiple antennas
dc.subject.other Nearest neighbor decoding
dc.subject.other Noncoherent
dc.subject.other Pilot-aided
dc.subject.other Channel estimation
dc.title Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels
dc.type article
dc.subject.eciencia Electrónica
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/252663
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/714161/LOLITA
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/259663/FLINT
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/725411/ITUL
dc.relation.projectID Gobierno de España. RYC-2014-16332
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 9, 971
dc.identifier.publicationlastpage 34
dc.identifier.publicationtitle Entropy
dc.identifier.publicationvolume 22
dc.identifier.uxxi AR/0000026015
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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