Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/23553
Title: Improved probability density function using modified-AND detection technique for incoherent SAC-OCDMA systems
Authors: Hamza Mohammed Ridha, Al-Khafaji
Syed Alwee Aljunid, Syed Junid, Prof. Dr.
Hilal Adnan, Fadhil, Dr.
eng.hamza.alkhafaji@gmail.com
syedalwee@unimap.edu.my
Keywords: Intensity noise
Modified-AND subtraction detection
Multiple-access interference (MAI)
Optical code division multiple access (OCDMA)
Probability density fuction (PDF)
Spectral-amplitude coding (SAC)
Issue Date: 3-Jul-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 531-534
Series/Report no.: Proceedings of the International Conference on Computer and Communication Engineering (ICCCE) 2012
Abstract: The rapid progress in video-based Internet applications is increasing the demand for efficient optical communication systems. In this paper, developed detection technique for incoherent spectral-amplitude coding optical code-division multiple-access (SAC-OCDMA) systems is presented. In order to tighten the correspondence between practical and theoretical results, the most dominant noises that might influence the performance of the SAC-OCDMA systems such as intensity, shot, and thermal noises are considered. The probability density function (PDF) and signal-to-noise ratio (SNR) of modified quadratic congruence (MQC) code are evaluated and compared according to the results obtained. The numerical results confirm that the proposed system using modified-AND subtraction detection can substantially accommodate a lot of users with enhanced PDF and higher SNR.
Description: Link to publisher's homepage http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6271243
http://dspace.unimap.edu.my/123456789/23553
ISBN: 978-146730478-8
Appears in Collections:Syed Alwee Aljunid Syed Junid, Prof. Ir. Ts. Dr.
Conference Papers

Files in This Item:
File Description SizeFormat 
improved probability.pdf29.44 kBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.