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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 | Size | Format | |
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improved probability.pdf | 29.44 kB | Adobe PDF | View/Open |
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