The University of Southampton
University of Southampton Institutional Repository

Multi-class coded layered asymmetrically clipped optical OFDM

Multi-class coded layered asymmetrically clipped optical OFDM
Multi-class coded layered asymmetrically clipped optical OFDM
Multi-class channel coded layered asymmetrically clipped optical orthogonal frequency division multiplexing (LACO-OFDM) is proposed, where the achievable rate of the system is derived based on our mutual information analysis. We conceive a multi-class channel encoding scheme integrated with the layered transmitter. At the receiver both the coded and uncoded likelihood ratios (LLRs) are extracted for inter-layer interference cancellation and symbol detection, respectively. Simulations are conducted and the results show that our design approaches the achievable rate within 1.1 dB for 16QAM 4-layer LACO-OFDM with the aid of a half-rate 8-iteration turbo code at BER=10-3, outperforming its conventional counterpart by about 3.6 dB.
Optical Communications, Forward Error Correction, Layered Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing (LACO-OFDM), Achievable Rate
0090-6778
579-589
Zhang, Xiaoyu
ea1ec5dd-5b9f-4ba9-b420-c05e771a5ae3
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Zhang, Rong
3be8f78f-f079-4a3f-a151-76ecd5f378f4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Xiaoyu
ea1ec5dd-5b9f-4ba9-b420-c05e771a5ae3
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Zhang, Rong
3be8f78f-f079-4a3f-a151-76ecd5f378f4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Xiaoyu, Babar, Zunaira, Zhang, Rong, Chen, Sheng and Hanzo, Lajos (2019) Multi-class coded layered asymmetrically clipped optical OFDM. IEEE Transactions on Communications, 67 (1), 579-589. (doi:10.1109/TCOMM.2018.2869821).

Record type: Article

Abstract

Multi-class channel coded layered asymmetrically clipped optical orthogonal frequency division multiplexing (LACO-OFDM) is proposed, where the achievable rate of the system is derived based on our mutual information analysis. We conceive a multi-class channel encoding scheme integrated with the layered transmitter. At the receiver both the coded and uncoded likelihood ratios (LLRs) are extracted for inter-layer interference cancellation and symbol detection, respectively. Simulations are conducted and the results show that our design approaches the achievable rate within 1.1 dB for 16QAM 4-layer LACO-OFDM with the aid of a half-rate 8-iteration turbo code at BER=10-3, outperforming its conventional counterpart by about 3.6 dB.

Text
LACO coding - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (506kB)
Text
08463516 - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Submitted date: 2018
Accepted/In Press date: 2 September 2018
e-pub ahead of print date: 24 September 2018
Published date: January 2019
Keywords: Optical Communications, Forward Error Correction, Layered Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing (LACO-OFDM), Achievable Rate

Identifiers

Local EPrints ID: 418676
URI: http://eprints.soton.ac.uk/id/eprint/418676
ISSN: 0090-6778
PURE UUID: 01507e54-dc7e-4f7d-a2b0-c9e5c119c775
ORCID for Xiaoyu Zhang: ORCID iD orcid.org/0000-0002-0793-889X
ORCID for Zunaira Babar: ORCID iD orcid.org/0000-0002-7498-4474
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 Mar 2018 17:30
Last modified: 24 Apr 2024 02:01

Export record

Altmetrics

Contributors

Author: Xiaoyu Zhang ORCID iD
Author: Zunaira Babar ORCID iD
Author: Rong Zhang
Author: Sheng Chen
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×