Error probability bounds for Gaussian channels under maximal and average power constraints

Vázquez Vilar, Gonzalo

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Error probability bounds for Gaussian channels under maximal and average power constraints

Author(s): Vázquez Vilar, Gonzalo

Publisher: IEEE

Issued date: 2021-06

Citation: Vazquez-Vilar, G. (2021). Error Probability Bounds for Gaussian Channels Under Maximal and Average Power Constraints. IEEE Transactions on Information Theory, 67(6), pp. 3965–3985.

ISSN: 0018-9448

DOI: https://doi.org/10.1109/TIT.2021.3063311

xmlui.dri2xhtml.METS-1.0.item-contributor-funder: European Commission
Ministerio de Economía y Competitividad (España)

Sponsor: This work was supported in part by the European Research Council (ERC) under Grant 714161, and in part by the Spanish Ministry of Economy and Competitiveness under Grant TEC2016-78434-C3 (AEI/FEDER, EU).

Project: Gobierno de España. TEC2016-78434-C3-3-R
info:eu-repo/grantAgreement/EC/714161

Keywords: Average power constraint , Channel coding , Constellation design , Finite blocklength analysis , Gaussian channel , Hypothesis testing , Maximal power constraint , Meta-converse

URI: http://hdl.handle.net/10016/33505

Abstract:

This paper studies the performance of block coding on an additive white Gaussian noise channel under different power limitations at the transmitter. New lower bounds are presented for the minimum error probability of codes satisfying maximal and average power [+]

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