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Design and Analysis of 25 & 35 Gbps Optical Communication System based on APDCDM Technique

by Puja Kant, Manish Saxena
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 3
Year of Publication: 2015
Authors: Puja Kant, Manish Saxena
10.5120/ijca2015905858

Puja Kant, Manish Saxena . Design and Analysis of 25 & 35 Gbps Optical Communication System based on APDCDM Technique. International Journal of Computer Applications. 125, 3 ( September 2015), 16-19. DOI=10.5120/ijca2015905858

@article{ 10.5120/ijca2015905858,
author = { Puja Kant, Manish Saxena },
title = { Design and Analysis of 25 & 35 Gbps Optical Communication System based on APDCDM Technique },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 3 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number3/22412-2015905858/ },
doi = { 10.5120/ijca2015905858 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:02.795984+05:30
%A Puja Kant
%A Manish Saxena
%T Design and Analysis of 25 & 35 Gbps Optical Communication System based on APDCDM Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 3
%P 16-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A 25 and 35 Gbps Absolute Pole Duty cycle division multiplexing (APDCDM) based communication system is designed successfully. A technique for estimation of BER is developed for four users APDCDM based optical communication system, referring to the data recovery rules. The performance parameters like SNR, Q-factor and BER are calculated for the transmission rate and  in this system. After design and simulation it is concluded that the performance of system is reduces for higher data transmission rate as compare to lower data transmission rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bit error Rate (BER) Signal to Noise Ratio (SNR) Q-factor

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