Saddlepoint Approximations for Noncoherent Single-Antenna Rayleigh Block-Fading Channels

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Saddlepoint Approximations for Noncoherent Single-Antenna Rayleigh Block-Fading Channels

Author(s): Lancho Serrano, Alejandro; Östman, Johan; Durisi, Giuseppe; Koch, Tobias Mirco; Vázquez Vilar, Gonzalo
Publisher: IEEE
Issued date: 2019-09-26
Citation: 2019 IEEE International Symposium on Information Theory (ISIT), 7-12 July 2019, Paris, France, 5 pp.
ISBN: 978-1-5386-9291-2
DOI: https://doi.org/10.1109/ISIT.2019.8849659
xmlui.dri2xhtml.METS-1.0.item-contributor-funder: Comunidad de Madrid
European Commission
Ministerio de Economía y Competitividad (España)
Ministerio de Educación, Cultura y Deporte (España)
Sponsor: A. Lancho, G. Vázquez-Vilar and T. Koch have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (714161), the Spanish Ministerio de Economía y Competitividad (RYC-2014-16332, TEC2016-78434-C3-3-R (AEI/FEDER, EU) and IJCI2015-27020), the Spanish Ministerio de Educación, Cultura y Deporte (FPU014/01274), and the Comunidad de Madrid (S2103/ICE-2845). G. Durisi and J. Östman have been supported by the Swedish Research Council under Grants 2016-03293 and 2014-6066.
Is part of: http://hdl.handle.net/10016/30725
Project: info:eu-repo/grantAgreement/EC/H2020/714161/LOLITA
Gobierno de España. TEC2016-78434-C3-3-R (AEI/FEDER, EU)
Gobierno de España. IJCI2015-27020
Gobierno de España. FPU014/01274
Comunidad de Madrid. S2103/ICE-2845
Keywords: Random variables , Encoding , Error probability , Coherence , Reliability , Signal to noise ratio , Probability density function
URI: http://hdl.handle.net/10016/29129
Rights: © 2019 IEEE.

Abstract:

This paper presents saddlepoint approximations of state-of-the-art converse and achievability bounds for noncoherent, single-antenna, Rayleigh block-fading channels. These approximations can be calculated efficiently and are shown to be accurate for SNR values [+]

Description:

Proceeding of: 2019 IEEE International Symposium on Information Theory (ISIT), 7-12 July 2019, Paris, France

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