Effect of fiber distance on various sac ocdma detection techniques

IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
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Volume: 02 Issue: 03 | Mar-2013, Available @ http://www.ijret.org 290
EFFECT OF FIBER DISTANCE ON VARIOUS SAC-OCDMA DETECTION
TECHNIQUES
Vandana Nath1
, Nakul Jain2
, Sandeep Dogra3
1
Assistant Professor, Electronics and Communication Engineering, 2,3
Student, M.Tech Digital and wireless
communication, University School of Information and Communication Technology, Guru Gobind Singh Indraprastha
University, Delhi, India. vandanausit@gmail.com, er.nakul29jain@gmail.com, sandeep.dogra1589@gmail.com
Abstract
Optical code division multiple access system (OCDMA) has been gaining importance with increasing demands of high speed and
large capacity for communication in optical networks. OCDMA system is totally asynchronous, that does not require any clock signals
for synchronization in the network. Therefore, OCDMA provide a network that is simpler and offers the potential for scalability to
higher levels of connectivity. OCDMA encoding /decoding process also provides a level of security directly implemented in the
physical layer. Using OCDMA technique high spectral efficiency is achieved, hence fiber bandwidth is used very efficiently with
throughput in excess of Tbit/s. Among several kinds of OCDMA systems, spectra amplitude coding (SAC) scheme attracts increasing
interest because multiple access interference (MAI) can be eliminated and preserve the orthogonality between users in the system.
This paper presents comparison of three important SAC-OCDMA detection techniques, namely - Direct detection, Complementary
subtraction and AND subtraction. The design of encoder and decoder modules for SAC-OCDMA system used in this paper is based on
Fiber Bragg Gratings (FBGs). Here conventional single mode fiber (SMF) is used as the transmission link and the performance
metric studied is Quality factor (Q) in multiple access environments of various user systems for these three detection techniques.
Finally Effect of increasing number of fiber distance on the direct detection technique using NRZ and RZ data formats have been
studied. Simulated results show that AND subtraction technique gives better Quality-factor (Q) than the complementary subtraction
and direct detection techniques for the signal with same power.
Index Terms: OCDMA (optical CDMA), BER (bit error rate), MAI (multiple access interference), DW (double weight
code), SAC (spectral amplitude coding) and Q (quality factor)
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1. INTRODUCTION
OCDMA system is being used for high quality video
transmission due to its large bandwidth and less attenuation [1].
OCDMA system has many advantages over conventional
optical systems such as more privacy to every user, flexibility
in channel allocation [2]. Further it can operate asynchronously
and network capacity is not limited but highly scalable [3]. The
robustness of CDMA technique in wireless network is yet to
prove that OCDMA offers security advantages over other
multiple access systems by maintaining the quality of services
[4].
OCDMA is a multiplexing technique by which each
communication channel is distinguished by a specific optical
code rather than a wavelength or a time slots. An encoding
operation optically transforms each data bit before transmission
as shown in Fig-1. Here we provide distinguishable and unique
code to every user at the transmitter like: C1, C2..., Cn and at
the receiver, the reverse decoding operation is required to
recover the original data [5].
Fig-1: A General Structure of Optical code division multiple
access system
SAC-OCDMA is a good candidate for optical multiple access
networks over other OCDMA techniques because of its ability
to reduce MAI [6]. A system consisting of unipolar sequences
in the signature code is called incoherent system. System that
uses bipolar codeword is called a coherent system. The
incoherent source appears as a good candidate for SAC as it is
inherently broadband, a necessary characteristic of SAC [7].

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2. VARIOUS DETECTION TECHNIQUES
2.1 Direct detection technique
Direct implementation of DW code is shown in Fig-2. In this
technique only those component of the optical spectrum are
retained which are desired. Other undesirable components are
removed by filtering. In direct detection technique MAI does
not exists. But, this technique is applicable only to those codes,
in which the spectral chips are not overlapped with other
spectral chips of the other channel, i.e. a minimum of one clean
chip in every code sequence. From Fig-2 it is clear that same
frequency component being directly detected at the receiver
side and hence its circuitry is very simple and less costly.
Fig-2: Implementation of the Direct Detection Technique
2.2 Complementary Subtraction Technique
Complementary detection technique is also known as balance
detection technique [8]. In complementary subtraction
technique, the cross-correlation is defined as:-
𝜃 𝑋𝑌 𝑘 = 𝑥𝑖 𝑦𝑖+𝑘
𝑁−1
𝑖=0 (1)
Where X and Y are two OCDMA code sequences, the
complement of sequence (X) is given by (𝑋) whose Elements
are obtained from (X) by 𝑋= 1-X.
Let X = 0011 and Y = 0110 and therefore 𝑋 = 1100. The
periodic cross correlation sequence between (𝑋) and (Y) is
similar to Equation (1) and is expressed as:
𝜃 𝑋 𝑌 𝑘 = 𝑥𝑖 𝑦𝑖+𝑘
𝑁−1
𝑖=0 (2)
We want the sequence to be
𝜃 𝑋𝑌 𝑘 = 𝜃 𝑋 𝑌 𝑘 (3)
Now at the receiver, the photo detectors will detect the two
complementary inputs which will be fed to the subtractor whose
cross-correlation output, Z can be expressed as:
𝑍 𝐶𝑜𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡𝑎𝑟𝑦 = 𝜃 𝑋𝑌 𝑘 −𝜃 𝑋 𝑌 𝑘 (4)
After solving equation (4) if we get 0, at the output of the
subtractor, there will be no more cross-correlation terms
indicating that there is no more signal from other users in the
intended channel and hence there will be no more MAI.
Transmitter of Complementary model is similar to that of direct
detection. In receiver, the received signal is divided into two
complementary branches of spectral chips as shown in Fig-3.
These two branches of spectral signals are sent to a balanced
detector that computes the correlation difference.
Fig-3: Implementation of the Complementary Subtraction
Technique [9]
2.3 AND Subtraction Technique
AND subtraction technique, have the cross-correlation 𝜃 𝑋 𝑌 𝑘
is substituted by 𝜃 𝑋&𝑌 𝑌 𝑘 where the 𝜃 𝑋&𝑌 represents the
AND operation between sequences X and Y.
Here at the receiver:
𝑍𝐴𝑁𝐷 = 𝜃 𝑋𝑌 𝑘 −𝜃 𝑋&𝑌 𝑌 𝑘 (5)
Equation (5) shows that, with AND subtraction technique, the
MAI or the interference from other channels can also be
cancelled out.
In this technique, the received signal is divided into two AND
branches of spectral chips as shown in Fig-4.
Fig-4: Implementation of the Complementary Subtraction
Technique [9]

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3. EXPERIMENTAL SETUP
Direct detection using NRZ and RZ data formats have been
simulated using Optisystem 11 as shown in Fig-5.
Fig-5: Layout design of OCDMA system using Direct
Detection with RZ data format
And subtraction and complementary subtraction techniques
have also been simulated in the similar manner. Various
parameters used for this simulation for three users using Walsh
Hadamard code are given in Table-1.
Table-1: Simulation parameters used for the simulation of the
OCDMA system
Parameters Value
White light specification
White light source wavelength 1550.5 nm
White light source power -115 dBm
Optical fiber
Type of optical fiber The ITU-T G.652
standard single
mode optical fiber.
Fiber brag grating specifications
FBG cut off wavelength λ0 1548.5 nm
Other parameters
Bandwidth .6nm
Reflectivity .9998
4. RESULTS AND DISCUSSIONS
The performance evaluation of the OCDMA system using
Direct Detection method with two types of data formats i.e.
NRZ and RZ, has been checked on the basis of BER and fiber
length as shown in Fig-6. For this purpose fiber length is varied
from 10m to 10 Km, other parameters like source power and bit
rate are kept constant.
Fig-6: BER Vs Fiber Length Using NRZ and RZ Direct
Detection Techniques
Fig-6 shows that an increase in fiber length causes increment in
dispersion of the input signal, so BER also increases with
distance, also it is clear from the above graph that for small
distance, RZ data format is better as compared to NRZ data and
vice versa for larger distance. Here BER is taken as 1.00 E and
data on Y-axis shows the factor E power.
To differentiate between the three detection techniques
simulation is carried out with 10 km optical fiber and data rate
200 mbps. Fig.7 presents comparison of Q-factor for three
detection techniques. It clearly shows that AND detection
technique has maximum Q-factor.
-80
-70
-60
-50
-40
-30
-20
-10
0
0.01 1 10
BER(1.00E)
Fiber Length (Km)
Direct
Detection NRZ
Direct
Detection RZ

__________________________________________________________________________________________
Fig-7: Q-factor of detection technique for one user for 10 km
optical fiber
CONCLUSIONS
Direct detection, Complementary subtraction and And
Subtraction SAC- OCDMA have been studied and
implemented. It has been observed that performance of
OCDMA system decreases as the distance of fiber increases in
all the three techniques i.e. lesser the distance better is the
transmission. Direct detection technique with RZ data format
for smaller distance and with NRZ data format for longer
distance yields better results and is the simplest and most
economical techniques as the number of components used are
very less as compared to other two techniques. Q-factor has
been observed for different detection techniques which shows
that AND subtraction detection technique gives the better
performance than direct detection and complementary
subtraction techniques.
REFERENCES:
[1] F. A. Hatim, F. N. Hasoon, S. A. Aljunid, and S. Shaari,
“Optimum Transmit Power for Optical CDMA Transmission
Systems Considering Nonlinear Stimulated Brillouin Scattering
(SBS) Effects”, International Conference on Electronic Design,
Penang, Malaysia, 2008.
[2] P. Li and W. Hamouda, “Performance of multiple-input and
multiple output orthogonal frequency and code division
multiplexing systems in fading channels”, The
Institution of Engineering and Technology, vol. 5, no.1, pp. 1-
11, 2011.
[3] A. A. Garba and J. Bajcsy, “Optical Code Division Multiple
Access Network Transmission With M-ary Chip Symbols”,
Optical Communication Network, vol. 3, no. 5, pp. 435-446,
2011.
[4] R J. Salehi, “Code Division Multiple Access Techniques in
Optical Fiber Networks-Part 1: Fundamental Principles”, IEEE
Transactions on Communications, vol. 37, pp. 824-833, 1989.
[5] M. S. Ab-Rahman and M.F.A. Shaarani, “The proposal of
OCDMA encoder based on optical cross and add-and-drop
multiplexer (OXADM)-device characteristic”, International
Journal of Computer Science and Network Security, vol.8,
no.12, pp.259-266, December 2008.
[6] Z. Wei, H. M. H Shalaby, and H. Ghafauri-Shiraz,
“Modified quadratic congruence codes for fiber Fiber-Bragg-
Grating-based spectral amplitude- coding optical CDMA
systems,” Journal of Lightwave Technology, vol. 19, pp. 1274-
1281, 2001.
[7] H. A. Fadhil, S. A. Aljunid, and R. B. Ahmad. ” Design
considerations of high performance optical code division
multiple access: a new spectral amplitude code based on laser
and light emitting diode light source”, The institution of
engineering and technology, vol. 4, no. 1, pp. 29-34, May 2010.
[8] R. Hui, et al., Subcarrier Multiplexing for High Speed
Optical Transmission, Journal of Lightwave
Technology, Vol. 20, no. 3, pp. 417-427, 2002.
[9] C.M. Negi, Amit Pandey, Gireesh G. Soni, Saral K. Gupta
and J. Kumar, " Optical CDMA Networks Using Different
Detection Techniques and Coding Schemes", International
Journal of Future Generation Communication and Networking
Vol. 4, No. 3, September, 2011.
BIOGRAPHIES:
Vandana Nath is Assistant Professor in
University school of Information and
Communication technology, Guru Gobind
Singh Indraprastha University Delhi, India.
She received her doctorate from University of
Delhi, India. She received her Master’s from
GGSIPU, Delhi. She has published 15 papers in various
International journals and conferences. She has around 12 years
of Research and teaching experience. Her areas of
specialization are Analog Electronics, Optical communications,
Information Theory & coding.
Nakul Jain is student of M.Tech in Digital and
wireless communication from USICT,
GGSIPU, Delhi, India. He has done his B.Tech
(Electronics and communication) from
Bhagwan Parshuram Institute of Technology.
His areas of interest include Optical Communication, Mobile
Communication and Embedded Systems.
Sandeep Dogra is student of M.Tech in
Digital and wireless communication from
USICT, GGSIPU, Delhi, India. He has done
his B.Tech (Electronics and communication)
from Bhagwan Parshuram Institute of
Technology. His areas of interest include
optical communication and spread spectrum
communication.
Direct detection 9.03994
Complementary
Subtraction
11.0244
And Subtraction 14.457
0
2
4
6
8
10
12
14
16QFactor
Q-factor for Different Detection Techiques
Direct
Detection
Comlementar
ySubtraction
AndSubtraction

Effect of fiber distance on various sac ocdma detection techniques

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Effect of fiber distance on various sac ocdma detection techniques