A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems

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Main Authors: Ahmed M., Alhassan, Nasreen, Badruddin, Dr., Mohamad Naufal, Mohamad Saad, Syed Alwee Aljunid, Syed Junid, Prof. Dr.
Other Authors: ahmed7060@yahoo.com
Format: Article
Language:English
Published: Elsevier GmbH 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/32615
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spelling my.unimap-326152014-03-12T04:51:13Z A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems Ahmed M., Alhassan Nasreen, Badruddin, Dr. Mohamad Naufal, Mohamad Saad Syed Alwee Aljunid, Syed Junid, Prof. Dr. ahmed7060@yahoo.com naufal_saad@petronas.com.my syedalwee@unimap.edu.my nasreen.b@petronas.com.my Balanced detection Divided spectrum balanced detection(DSBD) Optical code division multiple access (OCDMA) Phase induced intensity noise (PIIN) Spectral amplitude coding (SAC) Link to publisher's homepage at www.elsevier.de/‎ In this paper we propose a simple divided spectrum balanced detection (DSBD) for spectral amplitudecoding (SAC) optical code division multiple access (OCDMA) systems. SAC OCDMA systems are limited byphase induced intensity noise (PIIN), which is a signal dependent source of noise. Our proposed techniquereduces the PIIN by dividing the spectrum of the signal into two or more, and detecting each spectrumby a different photodiode. The DSBD scheme reduces the detected optical power at photodetection, thusresulting in a higher mitigation of the PIIN. Theoretical results show that DSBD demonstrate noticeableimprovement over traditional balanced detection technique, for example an up to 33% increase in thenumber of active users can be achieved, and at least 1 × 10-3b/s Hz increase in the spectral efficiency isobtained. However, the SDBD is more complex and append more constrains on system components 2014-03-12T04:48:45Z 2014-03-12T04:48:45Z 2013-12 Article Optik, vol. 124(23), 2013, pages 5994-5999 0030-4026 http://www.sciencedirect.com/science/article/pii/S0030402613006645 http://dspace.unimap.edu.my:80/dspace/handle/123456789/32615 en Elsevier GmbH
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Balanced detection
Divided spectrum balanced detection(DSBD)
Optical code division multiple access (OCDMA)
Phase induced intensity noise (PIIN)
Spectral amplitude coding (SAC)
spellingShingle Balanced detection
Divided spectrum balanced detection(DSBD)
Optical code division multiple access (OCDMA)
Phase induced intensity noise (PIIN)
Spectral amplitude coding (SAC)
Ahmed M., Alhassan
Nasreen, Badruddin, Dr.
Mohamad Naufal, Mohamad Saad
Syed Alwee Aljunid, Syed Junid, Prof. Dr.
A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems
description Link to publisher's homepage at www.elsevier.de/‎
author2 ahmed7060@yahoo.com
author_facet ahmed7060@yahoo.com
Ahmed M., Alhassan
Nasreen, Badruddin, Dr.
Mohamad Naufal, Mohamad Saad
Syed Alwee Aljunid, Syed Junid, Prof. Dr.
format Article
author Ahmed M., Alhassan
Nasreen, Badruddin, Dr.
Mohamad Naufal, Mohamad Saad
Syed Alwee Aljunid, Syed Junid, Prof. Dr.
author_sort Ahmed M., Alhassan
title A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems
title_short A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems
title_full A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems
title_fullStr A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems
title_full_unstemmed A divided spectrum balanced detection technique for intensity noisereduction in SAC OCDMA systems
title_sort divided spectrum balanced detection technique for intensity noisereduction in sac ocdma systems
publisher Elsevier GmbH
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/32615
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score 13.214268