Fast Perfomance Estimation on LDPC code based on Importance Sampling

Betreuer: Lingrui Zhu
Art der Arbeit: Projekt (MSc)
Arbeit beendet: -
Bearbeiter: -
Status: abgeschlossen
ANT-Signatur:
Kurzfassung:

Motivations:

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.

Obejectives:

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

Requirements:

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

Zuletzt aktualisiert am 13.04.2021 von L. Zhu
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