Toggle Main Menu Toggle Search

Open Access padlockePrints

Improved performance of TC-OFDM-PLNC for PLCs using exact derived impulsive noise PDFs

Lookup NU author(s): Ghanim Al-Rubaye, Professor Harris Tsimenidis, Dr Martin Johnston

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2017 IEEE. This paper presents an improvement to the end-to-end bit error rate (E2E-BER) performance of turbo-coded orthogonal frequency division multiplexing for physical layer network coding (TC-OFDM-PLNC) over power line communication (PLC) channels in the presence of impulsive noise. A novel detection scheme is introduced to transform the transmit signal constellation based on the frequency-domain channel coefficients in order to improve the performance of the turbo decoder at the relay node and end nodes, respectively, on a link-by-link (LBL) basis utilizing newly derived noise probability density functions (PDFs). Moreover, the closed-form expressions of the BER at the relay, end nodes and E2E are derived, in addition to the E2E average BER upper-bound (AUB). Monte Carlo simulation results closely verify the validity of the derived analytical expressions and reveal that the proposed method utilizing exact derived PDFs for impulsive probability α = 10-1 gives coding gains of 4.5 dB and 8.5 dB at Pe = 10-4 for the minimum mean square error (MMSE) and the zero forcing (ZF) equalizers, respectively, compared to the conventional TC-OFDM-PLNC system.


Publication metadata

Author(s): Al-Rubaye GA, Tsimenidis CC, Johnston M

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017

Year of Conference: 2017

Pages: 1271-1276

Online publication date: 03/07/2017

Acceptance date: 02/04/2016

ISSN: 2474-9133

Publisher: Institute of Electrical and Electronics Engineers Inc.

URL: https://doi.org/10.1109/ICCW.2017.7962833

DOI: 10.1109/ICCW.2017.7962833

Library holdings: Search Newcastle University Library for this item

ISBN: 9781509015252


Share