Performance Analysis of Permutation Matrix Zero Cross Correlation Code for SAC-OCDMA Systems
Kottakkaran Soopy Nisar,
Himali Sarangal,
Simrandeep Singh Thapar,
Mohammed Qutubuddin and
Mohammed Rahmath
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Kottakkaran Soopy Nisar: Department of Mathematics, College of Arts & Science-Wadi Al-dawaser, Prince Sattam bin Abdulaziz University, Alkharj, Kingdom of Saudi Arabia
Himali Sarangal: Department of ECE, GNDU RC, Jalandhar, India
Simrandeep Singh Thapar: Department of Computer Applications, ACET Amritsar, India
Mohammed Qutubuddin: Department of Electrical Engineering, College of Engineering-Wadi Al-dawaser, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia
Mohammed Rahmath: Department of Computer Science, College of Arts & Science-Wadi Al-dawaser, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia
European Journal of Engineering and Technology Research, 2018, vol. 3, issue 1, 15-19
Abstract:
SAC-OCDMA systems are picking up prominence because of their property of low Multiple Access Interference (MAI). This paper deals with zero cross-correlation (ZCC) by considering permutation matrices (PM). The properties and performance analysis of PM-ZCC code are given in this study. The obtained results have shown that PM-ZCC code can achieve better BER for more number of users. In PM-ZCC code, the code length is neither too short nor too long which is the good property of encoder-decoder design structure.
Keywords: Spectral Amplitude coding (SAC); Optical Code Division Multiple Access (OCDMA); Zero cross-correlation (ZCC) code; Permutation Matrix (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:3:y:2018:i:1:id:60576
DOI: 10.24018/ejeng.2018.3.1.576
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