Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Improvement in the nonlinear tolerance for a DFT-spread CO-OFDM system using M-ASK modulation and Hermitian symmetry of a DFT

Authors
Sung, MinkyuLee, JaehoonJeong, Jichai
Issue Date
Dec-2013
Publisher
ELSEVIER SCIENCE INC
Keywords
Coherent communications; Orthogonal frequency-division multiplexing (OFDM); Peak to average power ratio (PAPR); Fiber-optic transmission systems; Optical nonlinear effect
Citation
OPTICAL FIBER TECHNOLOGY, v.19, no.6, pp.643 - 651
Indexed
SCIE
SCOPUS
Journal Title
OPTICAL FIBER TECHNOLOGY
Volume
19
Number
6
Start Page
643
End Page
651
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/101480
DOI
10.1016/j.yofte.2013.10.003
ISSN
1068-5200
Abstract
We propose a novel discrete Fourier transform (DFT) spread M-ary amplitude shift keying (M-ASK) coherent optical orthogonal frequency division multiplexing (CO-OFDM) with a Hermitian symmetry system to mitigate nonlinear effects by reducing the peak-to-average power ratio (PAPR) of the OFDM signals. The proposed DFT-spread M-ASK CO-OFDM with the Hermitian symmetry system has a lower PAPR than the conventional M-2-quadrature amplitude modulation (QAM) CO-OFDM system using the DFT-spread scheme. Furthermore, to reduce the PAPR further as compared to the DFT-spread M-2-QAM CO-OFDM system, the proposed system uses the Hermitian symmetry of the DFT, which enables the proposed system to have a lower modulation order of M instead of M-2. The significantly reduced PAPR of the proposed system provides superior nonlinear tolerance. We analytically investigate the PAPR distributions of the OFDM systems. We also perform numerical simulations to investigate the PAPR characteristics and nonlinear tolerance of the OFDM systems. Our numerical results show that the proposed system outperforms the conventional CO-OFDM and DFT-spread CO-OFDM systems in terms of the bit error rate and PAPR. (C) 2013 Elsevier Inc. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Jae Hoon photo

Lee, Jae Hoon
Department of Computer Science and Engineering
Read more

Altmetrics

Total Views & Downloads

BROWSE