Skip to Main content Skip to Navigation
Journal articles

Multi-Level Kernel-based QAM symbol Error Probability Estimation

Pasteur Poda Samir Saoudi 1, 2, 3
1 Lab-STICC_IMTA_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Kernel density estimators technique has been successfully applied to efficient Bit Error Rate (BER) computation issue under a diversity of simulation frameworks. However, as contemporary and emerging digital communication systems are increasingly provided with advanced transceivers, it is questionable if the Symbol Error Rate (SER) can be anyway derived from the BER. This paper investigates for a direct way to efficiently compute the SER. Focusing on the ubiquitous multi-level Quadrature Amplitude Modulation (QAM) transmission schemes, a Gaussian kernel-based estimator is designed. Simulation of the 4-QAM transmission scheme under various channel models shows that the proposed estimator can achieve efficient estimations with a very high degree of accuracy and reliability.
Document type :
Journal articles
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download

https://hal-imt-atlantique.archives-ouvertes.fr/hal-01829672
Contributor : Samir Saoudi <>
Submitted on : Wednesday, July 4, 2018 - 11:28:54 AM
Last modification on : Wednesday, June 24, 2020 - 4:19:46 PM
Long-term archiving on: : Monday, October 1, 2018 - 12:30:32 PM

File

jounal_scientifique_saoudi.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01829672, version 1

Citation

Pasteur Poda, Samir Saoudi. Multi-Level Kernel-based QAM symbol Error Probability Estimation. Frontiers in Science and Engineering (international journal), 2017. ⟨hal-01829672⟩

Share

Metrics

Record views

66

Files downloads

34