TU Berlin

Main document

Literature Database Entry


Liset Martínez Marrero, Leyna Sadamori, Stephen Dominiak, Ulrich Dersch and Jorge Torres Gómez, "Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC," IEEE Access, vol. 7, pp. 79491–79502, January 2019.


Communications over power lines (PLC) is a promising technology for a variety of applications. The use of a single network for power and data transmission with PLC provides weight, space, and cost savings for vehicular communications. Current work focuses on broadband PLC (BPL) systems compliant with the IEEE 1901 standard. Given that transmissions occur on a physical medium not designed for data communication, the channel and noise characteristics are mostly unfavorable. To deal with these conditions, turbo codes have been widely employed due to their high performance. However, their performance strongly depends on the accuracy of the noise estimation. This work addresses the estimation of the noise power spectral density (PSD) to perform soft-decoding. A general background noise (GBN) model and a narrowband interference (NBI) model is considered. To the best of our knowledge, this is the first work that analyzes the effects of the NBI leakage on noise estimation when it is performed during the reception of the data frame. We propose the use of the frame control (FC) symbol to reduce interference leakage on noise estimation. In addition, we investigate the use of payload symbols to further reduce spectral leakage. Finally, we show that system performance considerably improves by using the FC-based estimation in soft-decoding procedures.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX


Liset Martínez Marrero
Leyna Sadamori
Stephen Dominiak
Ulrich Dersch
Jorge Torres Gómez

BibTeX reference

    author = {Mart{\'{i}}nez Marrero, Liset and Sadamori, Leyna and Dominiak, Stephen and Dersch, Ulrich and Torres G{\'{o}}mez, Jorge},
    doi = {10.1109/access.2019.2923148},
    title = {{Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC}},
    pages = {79491--79502},
    journal = {IEEE Access},
    issn = {2169-3536},
    publisher = {IEEE},
    month = {1},
    volume = {7},
    year = {2019},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.


Featured Paper