Fast Perfomance Estimation on LDPC code based on Importance Sampling

Tutor: Lingrui Zhu
Type of Thesis: Project (MSc)
date of end: -
Student: -
Status: finished


5G New radio has a very strict requirement on BLER, for example, URLLC requires the BLER at the order of 10^{-9}. Considering the complexity of coded systems and the rarity of error events at high SNR, simulation time of naive Monte Carlo method becomes prohibitive. Importance sampling is a method which could imporve the simulation efficiency and reduce the variance of estimates.


Understand importance sampling methods. Utilize importance sampling to improve the efficiency of LDPC simulations.


Good understading in channel coding, probability and statistics. Programming skills in Python.

Last change on 13.04.2021 by L. Zhu
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