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

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URI: https://hdl.handle.net/10016/33505
ISSN: 0018-9448
DOI: https://doi.org/10.1109/TIT.2021.3063311
UXXI: AR/0000028518
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Error_Vazquez_TIT_2021_ps.pdf (733.23 KB)
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2021-06
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IEEE
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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 constraints. These bounds are tighter than previous results in the finite blocklength regime, and yield a better understanding on the structure of good codes under an average power limitation. Evaluation of these bounds for short and moderate blocklengths is also discussed.
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Average power constraint, Channel coding, Constellation design, Finite blocklength analysis, Gaussian channel, Hypothesis testing, Maximal power constraint, Meta-converse
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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.
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