Efficient Evaluation of the Probability of Error of Random Coding Ensembles
Information Theory
2023-05-17 v1 math.IT
Abstract
This paper presents an achievability bound that evaluates the exact probability of error of an ensemble of random codes that are decoded by a minimum distance decoder. Compared to the state-of-the-art which demands exponential computation time, this bound is evaluated in polynomial time. This improvement in complexity is also attainable for the original random coding bound that utilizes an information density decoder. The general bound is particularized for the binary symmetric channel, the binary erasure channel, and the Gaussian channel.
Keywords
Cite
@article{arxiv.2305.09450,
title = {Efficient Evaluation of the Probability of Error of Random Coding Ensembles},
author = {Ioannis Papoutsidakis and Angela Doufexi and Robert J. Piechocki},
journal= {arXiv preprint arXiv:2305.09450},
year = {2023}
}
Comments
Accepted to the 2023 International Symposium on Information Theory (ISIT)