Citation:
Vazquez-Vilar, G. (2019). On the Error Probability of Optimal Codes in Gaussian Channels under Maximal Power Constraint. In: 2019 IEEE International Symposium on Information Theory (ISIT), 7-12 July 2019, pp. 2943-2946.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission Ministerio de Economía y Competitividad (España)
Sponsor:
This work has been funded in part by the European Research Council (ERC) under grant 714161, and by the Spanish Ministry of Economy and Competitiveness under grants IJCI-2015-27020 and TEC2016-78434-C3 (AEI/FEDER, EU).
Project:
Gobierno de España. TEC2016-78434-C3-3-R info:eu-repo/grantAgreement/EC/714161 Gobierno de España. IJCI-2015-27020
Keywords:
Error probability
,
Decoding
,
Phase shift keying
,
AWGN channels
,
Probability density function
,
Gaussian noise
,
Minimization
For an additive white Gaussian noise channel, we prove that Th. 41 in [Polyanskiy, Poor, Verdά2010] is a lower bound to the error probability of any channel code satisfying the maximal power constraint. In contrast, the (tighter) lower bound to the error probaFor an additive white Gaussian noise channel, we prove that Th. 41 in [Polyanskiy, Poor, Verdά2010] is a lower bound to the error probability of any channel code satisfying the maximal power constraint. In contrast, the (tighter) lower bound to the error probability in Eq. (20) in [Shannon 1959] only holds under equal power constraint.[+][-]
Description:
Proceedings of: 2019 IEEE International Symposium on Information Theory (ISIT)