Asymptotically Tight MLD Bounds and Minimum-Variance Importance Sampling Estimator for Linear Block Codes Over BSCs

In this paper, we re-examine the classical problem of efficiently evaluating the block and bit error rate performance of linear block codes over binary symmetric channels (BSCs). In communication systems, the maximum likelihood decoding (MLD) bounds are powerful tools to predict the error performanc...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jinzhe Pan, Wai Ho Mow
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Linear block codes importance sampling Monte Carlo simulation asymptotically tight bounds binary symmetric channel
Online Access:	https://ieeexplore.ieee.org/document/9796536/