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Saddlepoint approximations of lower and upper bounds to the error probability in channel coding

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2018-03-21
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IEEE
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Saddlepoint approximations of the meta-converse and random-coding union bounds are derived. These bounds accurately characterize the channel coding minimum error probability for symmetric memoryless channels in a wide range of system parameters. The proposed approximations are simple to compute and yield a unified analysis of both hypothesis-testing lower bounds and random-coding upper bounds.
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This paper has been presented at: 52nd Annual Conference on Information Sciences and Systems (CISS)
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Font-Segura, J., Vazquez-Vilar, G., Martínez, A., Guillén i Fàbregas, A. y Lancho, A. (2018). Saddlepoint approximations of lower and upper bounds to the error probability in channel coding. In 2018 52nd Annual Conference on Information Sciences and Systems (CISS)