Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/32483
Title: Performance enhancement of OCDMA system using NAND detection with modified double weight (MDW) code for optical access network
Authors: Nasim, Ahmed
Syed Alwee Aljunid, Syed Junid, Prof. Dr.
Hilal Adnan, Fadhil, Dr.
R. Badlishah, Ahmad, Prof. Dr.
Mohd Abdur Rashid, Dr.
nasim751@yahoo.com
syedalwee@unimap.edu.my
hilaladnan@unimap.edu.my
badli@unimap.edu.my
abdurrashid@unimap.edu.my
Keywords: Modified Double Weight (MDW) code
Multiple-access interference (MAI)
NAND/AND/complementary detection
Optical-code-division-multiple access (OCDMA)
Issue Date: Jul-2013
Publisher: Elsevier GmbH
Citation: Optik, vol. 124(13), 2013, pages 1402-1407
Abstract: In this paper, we have extensively analyzed the OCDMA system performance using modified double weight (MDW) code with NAND detection technique as newly developed by the authors. In theoretical analysis, various noises and multiple-access interference (MAI) effect were taken into account. The system performance was characterized by the signal-to-noise ratio (SNR) and the bit-error-rate (BER). The analysis results obtained with NAND detection technique were compared with those as obtained with complementary and AND subtraction techniques. The comparison results revealed that the NAND detection technique with MDW code can support more number of active users and improve the system performance compared to complimentary and AND subtraction techniques. We also ascertained by simulation experiment that the BER performance of the system with NAND detection technique is greatly improved as compared to the complementary and AND subtraction technique.
Description: Link to publisher's homepage at http://www.elsevier.de/
URI: http://www.sciencedirect.com/science/article/pii/S0030402612002392
http://dspace.unimap.edu.my:80/dspace/handle/123456789/32483
ISSN: 0030-4026
Appears in Collections:Mohd Abdur Rashid, Dr.
School of Computer and Communication Engineering (Articles)
School of Electrical Systems Engineering (Articles)
Syed Alwee Aljunid Syed Junid, Prof. Ir. Ts. Dr.
R. Badlishah Ahmad, Prof. Ir. Ts. Dr.



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