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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 289
Performance Evaluation of MC-CDMA for Fixed WiMAX with Equalization
Avneet Kaur1, Dr. Vinit Dhaliwal 2
1M.Tech., Dept. of ECE, GNDU, RC Jalandhar, Punjab, India
2Assistant Professor, Dept. of ECE, GNDU, RC Jalandhar, Punjab, India
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Abstract - Multi Carrier-Code DivisionMultipleAccess(MC-
CDMA) is a new RF technology which is becoming prominent
in the field of wireless communication. It is providing high
speed data rate in new wireless communication systems. MC-
CDMA is formed by combing two technologies: Orthogonal
Frequency Division Multiplexing (OFDM) and Code Division
Multiple Access (CDMA). MC-CDMA is used in WiMAX, Long
Term Evolution (LTE), and Digital Communications. Sinceitis
a wireless communication system therefore its generated
signal will be affected by the characteristics of the wireless
channel. In this paper Rayleigh fading channel and Rician
fading channel models with SUI channel model parameters
have been used for the analysis. The performance analysis of
the system is based on Fixed WiMAX, which isatypeofWiMAX.
The modulation techniques used are BPSK, QPSKand16-QAM.
The objective of this research is to ascertain the performance
of the system depending on Bit Error Rate (BER). The
simulation and analysis of MC-CDMA system has been done
using MATLAB.
Key Words: Orthogonal frequency division multiplexing
(OFDM), WiMAX, SUI channel models, fading channels, bit
error rate.
1. INTRODUCTION
Mobile and data services have been around for a while now
since it started in 1970 and late 1980s respectively, and the
demand of interference free communication and high speed
data is always increasing. Electronics Communication
started with analog domain and then digital domain was
adopted to improve the performance of communication
system. Analog modulation techniques were replaced by
digital modulation techniques as for mobile communication
and other related communication that were concerned. The
first communicationsystem developedwasAdvancedMobile
Phone Service (AMPS) which was analog. This was the 1st
generation. The growing number of users forced the
designers to develop new system and it was called the 2nd
generation, which is a digital system. 2nd generation (2G)
provided new and better services like ShortMessageService
(SMS), Time Division Multiple Access (TDMA), and Global
System for Mobile System (GSM), IS-90 Code Division
Multiple Access (CDMA). The next generation, the 3rd
generation (3G) gives more services to its users like faster
data rates and video services. 3G services are Universal
Mobile Telecommunication System (UMTS)andCDMA2000.
But with growing number of users and the requirement of
higher data rates, it has become difficult for communication
engineers to find optimum method to satisfytheneedsofthe
users. Now the new technology has been evolved, known as
the 4th generation (4G). WiMAX is a 4G technology. One
multiple access technique proposed for the 4G wireless
communication is Multi Carrier Code Division Multiple
Access (MC-CDMA). MC-CDMA is a new wireless
communication technology formulated by combiningOFDM
and CDMA. Therefore it utilizes the advantages of both the
techniques simultaneously. MC-CDMA provides higher data
rates. The transmitter and receiver for MC-CDMA system
consists of both CDMA and OFDM system. The data signal is
converted into parallel subcarriers, modulated converted
back into single stream andthentransmitted. Thedata signal
first goes through the CDMA transmitter and then it is
processed in the OFDM transmitter. On the MC-CDMA
receiver the signal first gets through the OFDM receiver and
then through the CDMA receiver.
1.1 OFDM System
OFDM is a digital Multicarrier Modulation digital
transmission technique. It has gained popularity because it
has the ability to transmit data at high rates. In OFDM,
original data symbols are divided into N sequences and are
transmitted over N subcarriers. It is a special form of
spectrally efficient technique, which employsdenselyspaced
orthogonal subcarriers and overlapping spectrums. The use
of such subcarriers makes OFDM distinguish from
conventional FDM (Frequency Division Multiplexing).
Fig -1: Block diagram of OFDM system
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 290
Figure 1 is implicating the working of transmitter and
receiver of a basis OFDM system. The transmitter of an
OFDM system consist of a modulator, serial to parallel (S/P)
convertor, IFFT block, CP (Cyclic Prefix) insertion block and
a parallel to serial convertor. The data to be transmitted is
modulated using QPSK, QAM etc. and is then converted into
parallel form by S/P convertor. This signal consists ofOFDM
symbols which are short parallel sequences. This generated
signal is in frequency domain. The discrete counterpart of
Fourier Transformi.e.InverseFastFourierTransform(IFFT)
is employed to change the domain to time domain. It also
introduces the spacing between the individual signalswhich
makes them orthogonal to each other. A circular extension
known as the CP is added at the head of OFDM symbols in
order to eliminate both ISI and ICI. To achieve this goal, the
CP length must be greater than the delay spread of the
multipath channel [13]. This CP is a kindofguardbandandit
tends to decrease the spectral efficiency of the system
because it carries no information. Therefore the selection of
CP should be considerate of this complicating factor. After
the addition of CP, parallel to serial convertor changes the
data into serial form to make it suitable for transmission
through channel.
The receiver section of the system performs the reverse
operation. Received serial signal is changed to parallel form.
The cyclic prefix or the guard time is removed. Then FFT
transforms the signal in frequency domain so that it can be
used forfurther processing after gettingconvertedintoserial
form by parallel to serial convertor. The demodulator then
converts the signal back to its original form.
1.2 CDMA
CDMA is a type of spread spectrum technique in which
frequency spectrum is spread out. It uses direct sequence
spread spectrum technique. It is a multiple access technique
which provides accessibility of same network to multiple
users. The users are able to access the network same time
and can consume the whole frequency spectrum. It uses
spreading codes, which is allotted to each user. If N number
of users are using the network then N number of distinguish
codes will be generated which will be assigned to each user.
N users communicate without interference because of
different spreading codes.
Fig -2: CDMA spectrum representation
The application of distinguish spreading codes helps
identifying each user enrolled in the system. The use of
spreading code spreads the band spectrum hence making
each subscriber’s communication secure. In the spread
spectrum model, user data signal to be transmittedisspread
when a spreading code is applied to it.
Spreading is done at the transmitter when a spread code is
multiplied with the user data. At the receiver the required
user data is extracted with the help of correlation and this
process is called descrambling. The spreading codes are one
of the major elements within the whole CDMA system. The
codes are combined with the data signal to be transmitted in
such a way that the required bandwidth is increased and
hence the advantages of spread spectrum are availed.
Spread spectrum is frequency spectrum in which energy
generated at a single frequency is spreadovera wide band of
frequencies. The frequency band for spread spectrum is
made much wider than required by the information carried
by them. This technology uses wideband, noise like signals
which are hard to detect, intercept or demodulate. For
converting a data signal into spread spectrum, each and
every data bit of the data signal which is to be transmitted, is
multiplied by a secret code called chipping code. This
chipping code is a spreading code. This process is called
spreading. At the receiver, the same chipping code used at
the transmitter is used to get the original signal.Thisprocess
is called dispreading. Dispreadingisaccomplishedbythe use
of correlation function. The received spread signal is
correlated to a synchronized replica of the spreading code
which was used to spread the data signal at the transmitter.
Fig -3: Spread and non-spread signal
The spreading codes are unique and are specifictoeachuser
who is making use of the system. These spreading codes
enable the different users to gain access of the system.
Different codes used in the CDMA system are PN codes, Gold
sequence codes, and Walsh Hadamard codes. These codes
are described below.
 PN code: PN code is coded sequence of 1s and 0s. It
is a type of deterministic code that exhibits the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 291
properties of randomness. Hence PN code makes
the signals appear wide band and noise like
spectrum. Its outcome can be equatedtooutcomeof
tossing a coin with 1 and 0 instead of heads and
tails. If current state of PN code is known, the future
state of the code can be predicted. A PN sequence
generator consists of shift registers 1 to M and a
logic circuit, preferably EX-OR. A timing clock
regulates the shift registers. A binary sequence is
generated by shifting binary data through shift
registers. This logical data is then fed back to the
first stage. The possible states can be 2^M for M flip
flops.
 Gold sequence codes: PN sequence is not able to
generate optimum results for auto-correlation
hence new series was generated by altering some
properties of the PN sequence.SotheGoldsequence
codes are from PN code’s family. Gold sequence
codes can be produced by modulo-2 addition (EX-
OR) of 2 Maximum Length Sequence (ML). ML is a
sequence of length 2^m-1, where m is the number
of flip flops used for generation of binary sequence.
On each tick of clock two sequences are added chip
by chip. This code helps generating large numbers
of codes.
 Walsh Hadamard code: This code is used for error
detection. It is named after Jacques Hadamard. This
code has better BER performance than PN and Gold
sequences. Walsh codes are used in directsequence
spread spectrum (DSSS) systems like CDMA. Walsh
Hadamard code is generated using the Hadamard
matrix H. A Hadamard code is obtained by selecting
as codewords, the rows of the Hadamard matrix.
This matrix is of order n, i.e. (n x n) comprising of1s
and 0s such that each row differs from any other
row in exactly N/2locations.Theminimumdistance
for these codes is N/2 [17]. This matrix can only
exist if n is 1, 2 or a multiple of 4. This sequence is
orthogonal therefore the cross correlation of two
sequences should be zero.
1.3 MC-CDMA
MC-CDMA is a new modulation technique, which came
into being by using two techniques together. Those two
techniques are OFDM and CDMA. The difference between
traditional DS-CDMA and MC-CDMA is that in MC-CDMA
frequency spectrum is spread in frequency domain whereas
in DS-CDMA spectrum band is spread in time domain. OFDM
block of MC-CDMA introduces orthogonality in the signal by
applying orthogonal matrix to the user bits.Theoperation in
MC-CDMA is like frequency diversity. Every symbol is
modulated on several subcarriers to introduce frequency
diversity instead of using only onecarrierlikeinCDMA.Each
bit is transmitted simultaneously parallelly on different
subcarriers. Each subcarrier has a constantphaseoffset.The
set of frequency offsets forms code to distinguish different
users. Each bit is transmitted over N different subcarriers.
Fig -4: Block diagram of MC-CDMA
The components of a MC-CDMA system consist of the
components used in OFDM system andCDMAsystem.Figure
3, elucidates its working. For MC-CDMA, first CDMA
technique is applied and then OFDM technique is deployed.
The information signal is first spread, and then it is divided
into subcarriers. After which its domain is changed to
frequency domain by IFFT, and then cyclic prefix is added so
that the system becomes resistant to the effects of ICI (Inter
Carrier Interference). After changing it to serial and analog
form it is transmitted.
On the receiving end the received modulated signal is
changed into parallel and digital form. The CP is removed
and its domain is changed back to frequency by FFT. After
going through parallel to serial convertor, the signal is now
no longer an OFDM signal. This signal is dispread andisthen
demodulated to get the original information signal.
MC-CDMA technology provides advantages such as high
spectral efficiency with secured communications, increased
number of users and less complex receiver but it suffers
from critical problem which is inherited from OFDM system
that is Peak to Average Power Ratio (PAPR).
2. WiMAX
Worldwide InteroperabilityforMicrowaveAccessorWiMAX
is a wireless communication system that can provide long
distance broadband wireless access (BWA) with high data
transmission rates in a point to multipoint connection and
line of sight or non-line of sight environment. It is a 4g
wireless technology and comesunder WirelessMetropolitan
Area Network (WMAN). It also provides greater coverage
than the WiFi network. WiMAX is a technology based on
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 292
IEEE 802.16 standard which is reserved for WMAN. This
standard is designed to operate in the 10-66 GHz spectrum
and specifies the physical layer and medium access control
layer of the air interface BWA systems. WiMAX can be put to
use in a variety of spectrum bands: 2.3GHz, 2.5 GHz, 3.5 GHz
and 5.8 GHz, the frequency bands licensed by various
government authorities. WiMAX can support bothFixed and
Mobile broadband networks and this constitutes its two
types: Fixed WiMAX and Mobile WiMAX.
Both Fixed and Mobile WiMAX technologiesarebasedon
IEEE 802.16 standard. Fixed WiMAX is used for IEEE 802.16
technology under the nameIEEE802.16-2004.FixedWiMAX
is better known as IEEE 802.16d. It is principally used for
providing fixed wire-line services which are the services
where subscriber terminals are placed at fixed stations. It
provides services which are much the same as the services
provided by the fixed line broadband. Fixed WiMAx uses
OFDM as its physical layer where FFT size is 256.
Mobile WiMAX is provides broadband wireless approach
and facilitates the coordination of mobile and fixed
broadband networks through a common wide area
broadband radio access technology. It is also known as IEEE
802.16e-2005 and more commonly as IEEE 802.16e. It
provides higher data rates andlargercoverageareashenceit
is known as 4G technology. Orthogonal Frequency Division
Multiple Access technology (OFDMA) is used as the physical
layer of Mobile WiMAX and the FFT sizes used are 128, 512,
1024, and 2048.
3. FADING CHANNEL AND SUI CHANNEL MODELS
A channel is a physical connection between transmitter and
receiver. A channel model is used approximate the way
errors are introduced in data stream when it is transmitted
over a medium.
A Fading Channel is known as communications channel
which has to face different fadingphenomenon duringsignal
transmission. In practical scenarios, theradiopropagation is
affected by the multipath distortion generated by these
fading channels. Therefore a model is necessary to predict
the effects of fading in order to extenuate its effects. Two
types of fading channel models used are:
 Rayleigh fading channel model
This channel model is useful in conditions where the signal
can be considered to get dispersed between transmitterand
receiver. In this case there is no single path but multiple
paths. This model can be used to describe the case of
multipath propagation. It is experienced in an environment
where there are a large number of reflections. The Rayleigh
fading model can be utilized for the analysis of radio signal
propagation on the statistical basics. Absence of
predominant signal can be significant to obtain the best
results for this channel. A line of sight (LOS) signal can be
considered as a predominant signal. Its envelope
distribution is identical to that of a noise signal.
 Rician fading channel model
The Rician fading channel model exists where there is one
dominant or a stationary signal component, which is usually
LOS signal component. Dominant stationary signal
component is the one which does not fades, or where a very
small fading pervades. In such cases, envelope distribution
generated is Rician. In these fading channel model random
multipath components reach at different angles are
superimposed on the stationary dominant signal. As the
power of the dominant signal decrease, a Rician distribution
starts depreciating to a Rayleigh distribution. Areas of
application where the Rician fading channel criteria can be
put into use are microcellular channels, indoor propagation,
vehicle to vehicle communication, satellite communication.
SUI is an acronym for Stanford University Interim.Theseare
channels models designed for WiMAX also called IEEE
802.16. SUI is an extension of an early work stimulated by
AT&T Wireless. These channel models are mainly for Fixed
WiMAX which is IEEE 802.16d standard. These models are
proposed for the scenarios where the cell radius is less than
10 km, the antennas usedare eitheromnidirectional antenna
or 30 degree directional antenna with base station antenna
height of 15 to 40 m and receiver antenna height of 2 to 20
m. The characteristics of a channel considered by these
channel models include multipath delay profile, the K factor
distribution and the Doppler spectrum. Other factor
considered is the antenna gain reduction factor which is the
related to the directional antenna. This model defines 6
channel models each representing three terrain types,
Doppler Spreads, Delay Spread and LOS conditions.
Table -1: Channel properties considered under SUI
channel models
Channel
Terrain
Type
Doppler
Spread
Delay
Spread
LOS
SUI-1 C Low Low High
SUI-2 C Low Low High
SUI-3 B Low Low Low
SUI-4 B High Moderate Low
SUI-5 A Low High Low
SUI-6 A High High Low
These three terrain types can be explained as follows:
i. Terrain type A- Hillyterrain withmoderatetoheavy
tree densities, which results in the maximum path
loss
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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ii. Terrain type B- Hilly environment but rare
vegetation, or high vegetationbutflatterrainhaving
intermediate path loss conditions
iii. Terrain type C- Mostly flat terrain with light tree
densities corresponding to minimum path loss
conditions
These models use three taps. The recognizable factor for
each tap is relative delay (with respect to the first path
delay), relative power, Rician K factor, and the Maximum
Doppler Shift. There are two setsofrelativepowersspecified
for each channel model: one for an omnidirectional antenna
and another for 30 degree directional antenna. K-factor is
provided for each model, one for 90%cell coverageand75%
cell coverage each for omnidirectional antenna and 30
degree directional antenna.
4. IMPLEMENTATION OF MC-CDMA SYSTEM
MC-CDMA new technology aimed at improved performance
over multipath links. It is a modulation method using
multicarrier transmission, more precisely OFDM and a
multiple access technique, CDMA. OFDM allows the system
to have higher spectral efficiency and CDMAallowsaccessto
more users.
The performance and working of MC-CDMAsystemdepends
upon different factors such as the type of channel used, type
of equalizer used, spreading used and the use of channel
coding.
Fig -5: Block Diagram MC-CDMA system implemented
4.1 MC-CDMA Transmitter
The transmitter of MC-CDMA system consists of a
randomizer, channel encoder, interleaver and a modulator
along with OFDM and CDMA transmitter.
Randomizer is the block which is responsible for the
random arrangement of the input data presentoneachburst
for each allocation. This is done to avoid long sequence of
continuous zeros and ones. It is implemented using
pseudorandom binary sequence generator which uses a 15
stage shift register.
Although digital communication is less prone to errors
yet there is no control over the errors which couldoccurdue
to wrong data reception by the receiver. One solution to this
problem is to send the data again. But this will just create
wastage of resources. Therefore errorcorrectingcodeswere
formulated to reduce the burden on the system. This error
correcting coding is called channel coding. Channel coding
used in the implementation of this system consists of RS
encoding and convolution coding. Reed Solomonencodingis
a type of non-binary error correctingcodethatisspecifiedas
RS (n,k), where n is the size of code word generated by RS
encoder and k is the size of data input to RS encoder. It can
correct up to t errors, where t = (n-k)/2, and 2t is the
difference between the output symbols of RS encoder and
the input symbols. Convolution coding adds patterns of
redundancy to data in order to improve Signal toNoiseRatio
(SNR) at the receiving end.
Interleaver is used to performs reordering of datathatto
be transmitted. Since error correcting codes are designed to
protect against channel errorsthatmayoccurrandomlyorin
a bursty manner, interleavers scramble the time order of
source bits [17]. Source bits are the encoded bits. As a result
corrective bursts of data are distributed over a large
sequence of data to reduce the effect of burst errors. It
enhances the error correcting ability of the codes used.
4.2 MC-CDMA Receiver
At the receiver end of this system, along with OFDM
receiver and CDMA receiver, consists an equalizer that
performs equalization, de-interleaver that arranges the
received sequence back into its original form and channel
decoder that performs decoding of the de-interleaved data.
Equalization compensates for intersymbol interference
(ISI) created by multipath within time dispersive channels.
ISI causes bit errors at the receiver and is considered to be a
major factor that stands in the way of high speed data
transmissions over the wireless channels and disrupts the
smooth working of a communication system. Equalizationis
a technique used to combat intersymbol interference. [17].It
is a process that reverses the distortion incurred by a signal
transmitted through a channel in digital communicationand
helps in reducing ISI. By applying this method, the retrieval
of transmitted symbols is possible. A simple linear filter can
be used for equalization.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
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4.4 Parameters used fortheimplementationofMC-
CDMA System
Below are the lists of all the parameters andspecification
applied for the execution and simulation of MC-CDMA
system for Fixed WiMAX.
Table -2: List of parameters used in MC-CDMA system
Parameters Value
Number of Users 1
Number of Subcarriers and size FFT 256
Modulation techniques BPSK, QPSK, 16 QAM
Channel Bandwidth 5 MHz
Spreading code Walsh Hadamard code
Fading Channel Model Rayleigh, Rician
SUI channel model SUI- (1-6)
Table -3: Modulation used and channel coding values
Modulation RS coding
Convolution
coding
BPSK - CC(1/2)
QPSK RS(44,36,2) CC(5/6)
16-QAM RS(64,48,4) CC(2/3)
These tables given below are depicting SUI channel model
values of three taps used for omnidirectional antenna.These
values have been used in the implementation of the MC-
CDMA system in this dissertation.
Table -4: Tap for Power of SUI channels
Channel
model
Tap 1 (db) Tap 2 (db) Tap 3 (db)
SUI-1 0 -15 -20
SUI-2 0 -12 -15
SUI-3 0 -5 -10
SUI-4 0 -4 -8
SUI-5 0 -5 -10
SUI-6 0 -10 -14
Table -5: Tap for 90% K factor of SUI channels
Channel
model
Tap 1
(db)
Tap 2
(db)
Tap 3
(db)
SUI-1 4 0 0
SUI-2 2 0 0
SUI-3 1 0 1
SUI-4 0 0 0
SUI-5 0 0 0
SUI-6 0 0 0
4.3 Performance matrices
Bit Error Rate (BER): BER is defined as the number of
error bits divided by the total number of transmitted bits
during a specific period. There are errors bits occurring
within the received bits independent of rateoftransmission.
By using MATLAB the BER is evaluated. The value of BER
depicts the performance level of the system.
Signal to Noise Ratio (SNR): SNR is the ratio of signal
power to the noise power, expressedindecibels.Itcompares
the level of desired signal to the level of background noise. It
also referred to as the ratio of useful information to false or
irrelevant data in a conversation or exchange.
Mathematically, SNR is represented as
SNRdb= 10log10 (Psignal/Pnoise) ………..(i)
5. RESULTS AND ANALYSIS
The results and analysis of the implementation ofMC-CDMA
system illustrated above are presented here. Results of
implementation of MC-CDMA with and without equalization
are exhibited below. The performance analysis shows the
BER versus Eb/No.
5.1 Graphical results obtained using BPSK
Modulation
Chart -1: BER performance for Sui-1 model
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Chart -2: BER performance for Sui-2 model
Chart -3: BER performance for Sui-3 model
Chart -4: BER performance for Sui-4 model
Chart -5: BER performance for Sui-5 model
Chart -6: BER performance for Sui-6 model
Table -6: BER values using BPSK modulation
SUI
channel
BER values
Rician fading channel Rayleigh fading channel
With
Equalization
Without
Equalization
With
Equalization
Without
Equalization
SUI-1 0.0247 0.0397 0.0206 0.2025
SUI-2 0.0202 0.5001 0.0779 0.4999
SUI-3 0.0557 0. 4997 0.0511 0.5319
SUI-4 0.0679 0. 4942 0.0422 0.4999
SUI-5 0.0632 0. 5114 0.0507 0.4890
SUI-6 0.0329 0. 5001 0.0341 0.4883
These above plots and the table show that BER performance
for MC-CDMA improves when equalization is used and best
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performance is achieved for Ricianfadingchannel whenSUI-
2 model is employed. The Eb/No value obtained is 23 and
SNR value is 16.9794 for all the channel models.
5.2 Graphical results obtained using QPSK
Modulation
Chart -7: BER performance for Sui-1 model
Chart -8: BER performance for Sui-2 model
Chart -9: BER performance for Sui-3 model
Chart -10: BER performance for Sui-4 model
Chart -11: BER performance for Sui-5 model
Chart -12: BER performance for Sui-6 model
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Table -7: BER values using QPSK modulation
SUI
channel
BER values
Rician fading channel Rayleigh fading channel
With
Equalization
Without
Equalization
With
Equalization
Without
Equalization
SUI-1 0.0318 0.4997 0.0331 0.5004
SUI-2 0.0397 0.4999 0.4160 0.5075
SUI-3 0.0348 0.4988 0.0612 0.5044
SUI-4 0.0274 0.4890 0.0304 0.4953
SUI-5 0.0332 0.4995 0.0461 0.4904
SUI-6 0.0414 0.4958 0.0287 0.5004
The above plots and the table depicts that the best
performance is achieved by Rician fading channel whenSUI-
4 model is employed. The Eb/No value obtained is 21 for all
the channel modes and SNR value is 17.9897.
5.3 Graphical results obtained using 16-QAM
Modulation
Chart -13: BER performance for Sui-1 model
Chart -14: BER performance for Sui-2 model
Chart -15: BER performance for Sui-3 model
Chart -16: BER performance for Sui-4 model
Chart -17: BER performance for Sui-5 model
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Chart -18: BER performance for Sui-6 model
Table -8: BER values using 16-QAM modulation
SUI
channel
BER values
Rician fading channel Rayleigh fading channel
With
Equalization
Without
Equalization
With
Equalization
Without
Equalization
SUI-1 0.0423 0.2583 0.0409 0.2955
SUI-2 0.0423 0.5077 0.2107 0.5015
SUI-3 0.0471 0.428 0.0437 0.4989
SUI-4 0.1209 0.4990 0.0436 0.4724
SUI-5 0.2187 0.4981 0.2030 0.5003
SUI-6 0.0409 0.5015 0.0436 0.4973
These above plots and the table show that BER performance
for MC-CDMA improves when equalization is used and best
performance is achieved using Rician fading channel
parameters when SUI-4model isemployed.TheEb/Novalue
and SNR value obtained was 21 for all the channel models.
6. CONCLUSION
MC-CDMA system for Fixed WiMAX parameters was
analyzed with BPSK, QPSK and 16-QAM modulation
schemes. Considering BER values the best performance was
generated by 16-QAM modulation when Rician channel
model with SUI-4 parameters was used. As for the SNR
values were considered, again 16-QAM was able to generate
the best result among the three modulations when used for
MC-CDMA system.
REFERENCES
[1] B.Sarala, D.S.Venkateswarulu, B.N.Bhandari, “Overview
of MC CDMA PAPRReduction Techniques",International
Journal of Distributed and Parallel Systems (IJDPS),
vol.3, No.2, March 2012, pp. 193-206.
[2] B.vinodh kumar, A.Arul, M.Christopher, S.Arun
kaviarasu, “Analysis and Design of MC-CDMA Based
Mobile WIMAX for Different Modulation", International
Journal of Advances in Electrical and Electronics
Engineering, vol.2, Number 3, pp.338-342.
[3] Javad Akbari Torkestanian, Mohammad Reza Meybodi,
"An efficient cluster-based CDMA/TDMA scheme for
wireless mobile ad-hoc networks: A learning automata
approach", Journal of Network and Computer
Applications, 27 January 2010, pp. 1-14.
[4] Nilesh Chide, Shreyas Deshmukh, Prof. P.B. Borole,
"Implementation of OFDM System using IFFT and FFT",
International Journal of Engineering Research and
Applications, ISSN: 2248-9622, Vol. 3, Issue 1, January
2013, pp.2009-2014.
[5] B.vinodh Kumar, Arulpugazhendhi.M, A.Arul,”
Performance Analysis of MC-CDMA Based FixedWiMAX
Technology By RS Encoder For Different Modulation”,
Int. Journal of Engineering Research and Applications,
ISSN : 2248-9622, vol. 3, Issue, Sep-Oct 2013 , pp.1423-
1425.
[6] Harish Sharma, Yogesh Bansal,“Analytical Evaluationof
Fixed and Mobile WiMAX System Based on OFDM and
MC-CDMA Systems”, International Journal Of Research
Review In Engineering Science & Technology, ISSN
2278–6643 vol. 4, Issue 1, April 2015, pp. 268-278
[7] Mojtaba Seyedzadegan, Mohamed Othman, “ IEEE
802.16: WiMAX Overview, WiMAX Architecture”,
International Journal of Computer Theory and
Engineering, vol. 5, no. 5, October 2013, pp. 784-787
[8] A. Bouacha , F. T. Bendimerad , “Performance Study of
the MC-CDMA as Physical Layer for Mobile WiMAX
Technology”, International Journal of Computer
Networking, Wireless and Mobile Communications ,
ISSN 2250-1568, vol. 3, Issue 2, June 2013, pp. 47-52
[9] Anjali Koranga, Geeta Joshi, “Comparative Study of
OFDM & MC-CDMA in WiMAX System”, IOSR Journal of
Electronics and Communication Engineering, e-ISSN:
2278-2834, p- ISSN: 2278-8735. vol. 9, Issue 1, Ver. IV
January 2014, pp. 64-68
[10] B U Rindhe, D C Shah, S K Narayankhedkar, “OFDM and
MC-CDMA for 4G Networks”, 2nd International
Conference and workshop on Emerging Trends in
Technology, 2011, pp. 30-37
[11] Abdul Hashib Siddique, A K M Arifuzzman and
Mohammed Tarique, “Performance study of IEEE
802.16d under Stanford University Interim (SUI)
Channel”, International Journal ofComputerNetworks&
Communications (IJCNC), vol.5, no.2, March 2013, pp.
137-152
[12] Er. Vipin Mittal & Prof. S.R. Mittal, “A Cyclic Prefix OFDM
System with BPSK Modulation”, Global Journal of
Researches in Engineering Electrical and Electronics
Engineering, Online ISSN: 2249-4596, vol. 12 ,Issue 7
,Version 1.0 , July 2012, pp. 43-48
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 299
[13] Amar Al-Jzari and Kostanic Iviva, “Cyclic Prefix Length
Determination for Orthogonal Frequency Division
Multiplexing System over Different Wireless Channel
Models Based on the Maximum Excess Delay Spread”,
American Journal of Engineering and Applied Sciences,
2015, pp. 82-93
[14] Bhupendra Kumar, Kuldeep Sharma, “Design and
Analysis of IEEE 802.16 WiMAX System using Simulink
Design and Analysis of IEEE 802.16”, International
Journal of Research Review in Engineering Science &
Technology,(ISSN 2278–6643),vol.4,issue-3,November
2015, pp. 48-51
[15] Amandeep Singh , Mandeep kaur, “Design and
Implementation of Reed Solomon Encoder on FPGA”,
World Academy of Science,engineeringandTechnology,
International Journal of Computer, Electrica,
Automation, Control and Information Engineering, vol.
7,no.9, 2013, pp.1248-1250
[16] Lathi B.P., Ding Zhi, Modern Digital and Analog
Communication Systems, International Fourth Edition
[17] Rappaport Theodore S. , Wireless Communications:
Principle and Practice (2nd Edition)

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Performance Evaluation of MC-CDMA for Fixed WiMAX with Equalization

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 289 Performance Evaluation of MC-CDMA for Fixed WiMAX with Equalization Avneet Kaur1, Dr. Vinit Dhaliwal 2 1M.Tech., Dept. of ECE, GNDU, RC Jalandhar, Punjab, India 2Assistant Professor, Dept. of ECE, GNDU, RC Jalandhar, Punjab, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Multi Carrier-Code DivisionMultipleAccess(MC- CDMA) is a new RF technology which is becoming prominent in the field of wireless communication. It is providing high speed data rate in new wireless communication systems. MC- CDMA is formed by combing two technologies: Orthogonal Frequency Division Multiplexing (OFDM) and Code Division Multiple Access (CDMA). MC-CDMA is used in WiMAX, Long Term Evolution (LTE), and Digital Communications. Sinceitis a wireless communication system therefore its generated signal will be affected by the characteristics of the wireless channel. In this paper Rayleigh fading channel and Rician fading channel models with SUI channel model parameters have been used for the analysis. The performance analysis of the system is based on Fixed WiMAX, which isatypeofWiMAX. The modulation techniques used are BPSK, QPSKand16-QAM. The objective of this research is to ascertain the performance of the system depending on Bit Error Rate (BER). The simulation and analysis of MC-CDMA system has been done using MATLAB. Key Words: Orthogonal frequency division multiplexing (OFDM), WiMAX, SUI channel models, fading channels, bit error rate. 1. INTRODUCTION Mobile and data services have been around for a while now since it started in 1970 and late 1980s respectively, and the demand of interference free communication and high speed data is always increasing. Electronics Communication started with analog domain and then digital domain was adopted to improve the performance of communication system. Analog modulation techniques were replaced by digital modulation techniques as for mobile communication and other related communication that were concerned. The first communicationsystem developedwasAdvancedMobile Phone Service (AMPS) which was analog. This was the 1st generation. The growing number of users forced the designers to develop new system and it was called the 2nd generation, which is a digital system. 2nd generation (2G) provided new and better services like ShortMessageService (SMS), Time Division Multiple Access (TDMA), and Global System for Mobile System (GSM), IS-90 Code Division Multiple Access (CDMA). The next generation, the 3rd generation (3G) gives more services to its users like faster data rates and video services. 3G services are Universal Mobile Telecommunication System (UMTS)andCDMA2000. But with growing number of users and the requirement of higher data rates, it has become difficult for communication engineers to find optimum method to satisfytheneedsofthe users. Now the new technology has been evolved, known as the 4th generation (4G). WiMAX is a 4G technology. One multiple access technique proposed for the 4G wireless communication is Multi Carrier Code Division Multiple Access (MC-CDMA). MC-CDMA is a new wireless communication technology formulated by combiningOFDM and CDMA. Therefore it utilizes the advantages of both the techniques simultaneously. MC-CDMA provides higher data rates. The transmitter and receiver for MC-CDMA system consists of both CDMA and OFDM system. The data signal is converted into parallel subcarriers, modulated converted back into single stream andthentransmitted. Thedata signal first goes through the CDMA transmitter and then it is processed in the OFDM transmitter. On the MC-CDMA receiver the signal first gets through the OFDM receiver and then through the CDMA receiver. 1.1 OFDM System OFDM is a digital Multicarrier Modulation digital transmission technique. It has gained popularity because it has the ability to transmit data at high rates. In OFDM, original data symbols are divided into N sequences and are transmitted over N subcarriers. It is a special form of spectrally efficient technique, which employsdenselyspaced orthogonal subcarriers and overlapping spectrums. The use of such subcarriers makes OFDM distinguish from conventional FDM (Frequency Division Multiplexing). Fig -1: Block diagram of OFDM system
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 290 Figure 1 is implicating the working of transmitter and receiver of a basis OFDM system. The transmitter of an OFDM system consist of a modulator, serial to parallel (S/P) convertor, IFFT block, CP (Cyclic Prefix) insertion block and a parallel to serial convertor. The data to be transmitted is modulated using QPSK, QAM etc. and is then converted into parallel form by S/P convertor. This signal consists ofOFDM symbols which are short parallel sequences. This generated signal is in frequency domain. The discrete counterpart of Fourier Transformi.e.InverseFastFourierTransform(IFFT) is employed to change the domain to time domain. It also introduces the spacing between the individual signalswhich makes them orthogonal to each other. A circular extension known as the CP is added at the head of OFDM symbols in order to eliminate both ISI and ICI. To achieve this goal, the CP length must be greater than the delay spread of the multipath channel [13]. This CP is a kindofguardbandandit tends to decrease the spectral efficiency of the system because it carries no information. Therefore the selection of CP should be considerate of this complicating factor. After the addition of CP, parallel to serial convertor changes the data into serial form to make it suitable for transmission through channel. The receiver section of the system performs the reverse operation. Received serial signal is changed to parallel form. The cyclic prefix or the guard time is removed. Then FFT transforms the signal in frequency domain so that it can be used forfurther processing after gettingconvertedintoserial form by parallel to serial convertor. The demodulator then converts the signal back to its original form. 1.2 CDMA CDMA is a type of spread spectrum technique in which frequency spectrum is spread out. It uses direct sequence spread spectrum technique. It is a multiple access technique which provides accessibility of same network to multiple users. The users are able to access the network same time and can consume the whole frequency spectrum. It uses spreading codes, which is allotted to each user. If N number of users are using the network then N number of distinguish codes will be generated which will be assigned to each user. N users communicate without interference because of different spreading codes. Fig -2: CDMA spectrum representation The application of distinguish spreading codes helps identifying each user enrolled in the system. The use of spreading code spreads the band spectrum hence making each subscriber’s communication secure. In the spread spectrum model, user data signal to be transmittedisspread when a spreading code is applied to it. Spreading is done at the transmitter when a spread code is multiplied with the user data. At the receiver the required user data is extracted with the help of correlation and this process is called descrambling. The spreading codes are one of the major elements within the whole CDMA system. The codes are combined with the data signal to be transmitted in such a way that the required bandwidth is increased and hence the advantages of spread spectrum are availed. Spread spectrum is frequency spectrum in which energy generated at a single frequency is spreadovera wide band of frequencies. The frequency band for spread spectrum is made much wider than required by the information carried by them. This technology uses wideband, noise like signals which are hard to detect, intercept or demodulate. For converting a data signal into spread spectrum, each and every data bit of the data signal which is to be transmitted, is multiplied by a secret code called chipping code. This chipping code is a spreading code. This process is called spreading. At the receiver, the same chipping code used at the transmitter is used to get the original signal.Thisprocess is called dispreading. Dispreadingisaccomplishedbythe use of correlation function. The received spread signal is correlated to a synchronized replica of the spreading code which was used to spread the data signal at the transmitter. Fig -3: Spread and non-spread signal The spreading codes are unique and are specifictoeachuser who is making use of the system. These spreading codes enable the different users to gain access of the system. Different codes used in the CDMA system are PN codes, Gold sequence codes, and Walsh Hadamard codes. These codes are described below.  PN code: PN code is coded sequence of 1s and 0s. It is a type of deterministic code that exhibits the
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 291 properties of randomness. Hence PN code makes the signals appear wide band and noise like spectrum. Its outcome can be equatedtooutcomeof tossing a coin with 1 and 0 instead of heads and tails. If current state of PN code is known, the future state of the code can be predicted. A PN sequence generator consists of shift registers 1 to M and a logic circuit, preferably EX-OR. A timing clock regulates the shift registers. A binary sequence is generated by shifting binary data through shift registers. This logical data is then fed back to the first stage. The possible states can be 2^M for M flip flops.  Gold sequence codes: PN sequence is not able to generate optimum results for auto-correlation hence new series was generated by altering some properties of the PN sequence.SotheGoldsequence codes are from PN code’s family. Gold sequence codes can be produced by modulo-2 addition (EX- OR) of 2 Maximum Length Sequence (ML). ML is a sequence of length 2^m-1, where m is the number of flip flops used for generation of binary sequence. On each tick of clock two sequences are added chip by chip. This code helps generating large numbers of codes.  Walsh Hadamard code: This code is used for error detection. It is named after Jacques Hadamard. This code has better BER performance than PN and Gold sequences. Walsh codes are used in directsequence spread spectrum (DSSS) systems like CDMA. Walsh Hadamard code is generated using the Hadamard matrix H. A Hadamard code is obtained by selecting as codewords, the rows of the Hadamard matrix. This matrix is of order n, i.e. (n x n) comprising of1s and 0s such that each row differs from any other row in exactly N/2locations.Theminimumdistance for these codes is N/2 [17]. This matrix can only exist if n is 1, 2 or a multiple of 4. This sequence is orthogonal therefore the cross correlation of two sequences should be zero. 1.3 MC-CDMA MC-CDMA is a new modulation technique, which came into being by using two techniques together. Those two techniques are OFDM and CDMA. The difference between traditional DS-CDMA and MC-CDMA is that in MC-CDMA frequency spectrum is spread in frequency domain whereas in DS-CDMA spectrum band is spread in time domain. OFDM block of MC-CDMA introduces orthogonality in the signal by applying orthogonal matrix to the user bits.Theoperation in MC-CDMA is like frequency diversity. Every symbol is modulated on several subcarriers to introduce frequency diversity instead of using only onecarrierlikeinCDMA.Each bit is transmitted simultaneously parallelly on different subcarriers. Each subcarrier has a constantphaseoffset.The set of frequency offsets forms code to distinguish different users. Each bit is transmitted over N different subcarriers. Fig -4: Block diagram of MC-CDMA The components of a MC-CDMA system consist of the components used in OFDM system andCDMAsystem.Figure 3, elucidates its working. For MC-CDMA, first CDMA technique is applied and then OFDM technique is deployed. The information signal is first spread, and then it is divided into subcarriers. After which its domain is changed to frequency domain by IFFT, and then cyclic prefix is added so that the system becomes resistant to the effects of ICI (Inter Carrier Interference). After changing it to serial and analog form it is transmitted. On the receiving end the received modulated signal is changed into parallel and digital form. The CP is removed and its domain is changed back to frequency by FFT. After going through parallel to serial convertor, the signal is now no longer an OFDM signal. This signal is dispread andisthen demodulated to get the original information signal. MC-CDMA technology provides advantages such as high spectral efficiency with secured communications, increased number of users and less complex receiver but it suffers from critical problem which is inherited from OFDM system that is Peak to Average Power Ratio (PAPR). 2. WiMAX Worldwide InteroperabilityforMicrowaveAccessorWiMAX is a wireless communication system that can provide long distance broadband wireless access (BWA) with high data transmission rates in a point to multipoint connection and line of sight or non-line of sight environment. It is a 4g wireless technology and comesunder WirelessMetropolitan Area Network (WMAN). It also provides greater coverage than the WiFi network. WiMAX is a technology based on
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 292 IEEE 802.16 standard which is reserved for WMAN. This standard is designed to operate in the 10-66 GHz spectrum and specifies the physical layer and medium access control layer of the air interface BWA systems. WiMAX can be put to use in a variety of spectrum bands: 2.3GHz, 2.5 GHz, 3.5 GHz and 5.8 GHz, the frequency bands licensed by various government authorities. WiMAX can support bothFixed and Mobile broadband networks and this constitutes its two types: Fixed WiMAX and Mobile WiMAX. Both Fixed and Mobile WiMAX technologiesarebasedon IEEE 802.16 standard. Fixed WiMAX is used for IEEE 802.16 technology under the nameIEEE802.16-2004.FixedWiMAX is better known as IEEE 802.16d. It is principally used for providing fixed wire-line services which are the services where subscriber terminals are placed at fixed stations. It provides services which are much the same as the services provided by the fixed line broadband. Fixed WiMAx uses OFDM as its physical layer where FFT size is 256. Mobile WiMAX is provides broadband wireless approach and facilitates the coordination of mobile and fixed broadband networks through a common wide area broadband radio access technology. It is also known as IEEE 802.16e-2005 and more commonly as IEEE 802.16e. It provides higher data rates andlargercoverageareashenceit is known as 4G technology. Orthogonal Frequency Division Multiple Access technology (OFDMA) is used as the physical layer of Mobile WiMAX and the FFT sizes used are 128, 512, 1024, and 2048. 3. FADING CHANNEL AND SUI CHANNEL MODELS A channel is a physical connection between transmitter and receiver. A channel model is used approximate the way errors are introduced in data stream when it is transmitted over a medium. A Fading Channel is known as communications channel which has to face different fadingphenomenon duringsignal transmission. In practical scenarios, theradiopropagation is affected by the multipath distortion generated by these fading channels. Therefore a model is necessary to predict the effects of fading in order to extenuate its effects. Two types of fading channel models used are:  Rayleigh fading channel model This channel model is useful in conditions where the signal can be considered to get dispersed between transmitterand receiver. In this case there is no single path but multiple paths. This model can be used to describe the case of multipath propagation. It is experienced in an environment where there are a large number of reflections. The Rayleigh fading model can be utilized for the analysis of radio signal propagation on the statistical basics. Absence of predominant signal can be significant to obtain the best results for this channel. A line of sight (LOS) signal can be considered as a predominant signal. Its envelope distribution is identical to that of a noise signal.  Rician fading channel model The Rician fading channel model exists where there is one dominant or a stationary signal component, which is usually LOS signal component. Dominant stationary signal component is the one which does not fades, or where a very small fading pervades. In such cases, envelope distribution generated is Rician. In these fading channel model random multipath components reach at different angles are superimposed on the stationary dominant signal. As the power of the dominant signal decrease, a Rician distribution starts depreciating to a Rayleigh distribution. Areas of application where the Rician fading channel criteria can be put into use are microcellular channels, indoor propagation, vehicle to vehicle communication, satellite communication. SUI is an acronym for Stanford University Interim.Theseare channels models designed for WiMAX also called IEEE 802.16. SUI is an extension of an early work stimulated by AT&T Wireless. These channel models are mainly for Fixed WiMAX which is IEEE 802.16d standard. These models are proposed for the scenarios where the cell radius is less than 10 km, the antennas usedare eitheromnidirectional antenna or 30 degree directional antenna with base station antenna height of 15 to 40 m and receiver antenna height of 2 to 20 m. The characteristics of a channel considered by these channel models include multipath delay profile, the K factor distribution and the Doppler spectrum. Other factor considered is the antenna gain reduction factor which is the related to the directional antenna. This model defines 6 channel models each representing three terrain types, Doppler Spreads, Delay Spread and LOS conditions. Table -1: Channel properties considered under SUI channel models Channel Terrain Type Doppler Spread Delay Spread LOS SUI-1 C Low Low High SUI-2 C Low Low High SUI-3 B Low Low Low SUI-4 B High Moderate Low SUI-5 A Low High Low SUI-6 A High High Low These three terrain types can be explained as follows: i. Terrain type A- Hillyterrain withmoderatetoheavy tree densities, which results in the maximum path loss
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 293 ii. Terrain type B- Hilly environment but rare vegetation, or high vegetationbutflatterrainhaving intermediate path loss conditions iii. Terrain type C- Mostly flat terrain with light tree densities corresponding to minimum path loss conditions These models use three taps. The recognizable factor for each tap is relative delay (with respect to the first path delay), relative power, Rician K factor, and the Maximum Doppler Shift. There are two setsofrelativepowersspecified for each channel model: one for an omnidirectional antenna and another for 30 degree directional antenna. K-factor is provided for each model, one for 90%cell coverageand75% cell coverage each for omnidirectional antenna and 30 degree directional antenna. 4. IMPLEMENTATION OF MC-CDMA SYSTEM MC-CDMA new technology aimed at improved performance over multipath links. It is a modulation method using multicarrier transmission, more precisely OFDM and a multiple access technique, CDMA. OFDM allows the system to have higher spectral efficiency and CDMAallowsaccessto more users. The performance and working of MC-CDMAsystemdepends upon different factors such as the type of channel used, type of equalizer used, spreading used and the use of channel coding. Fig -5: Block Diagram MC-CDMA system implemented 4.1 MC-CDMA Transmitter The transmitter of MC-CDMA system consists of a randomizer, channel encoder, interleaver and a modulator along with OFDM and CDMA transmitter. Randomizer is the block which is responsible for the random arrangement of the input data presentoneachburst for each allocation. This is done to avoid long sequence of continuous zeros and ones. It is implemented using pseudorandom binary sequence generator which uses a 15 stage shift register. Although digital communication is less prone to errors yet there is no control over the errors which couldoccurdue to wrong data reception by the receiver. One solution to this problem is to send the data again. But this will just create wastage of resources. Therefore errorcorrectingcodeswere formulated to reduce the burden on the system. This error correcting coding is called channel coding. Channel coding used in the implementation of this system consists of RS encoding and convolution coding. Reed Solomonencodingis a type of non-binary error correctingcodethatisspecifiedas RS (n,k), where n is the size of code word generated by RS encoder and k is the size of data input to RS encoder. It can correct up to t errors, where t = (n-k)/2, and 2t is the difference between the output symbols of RS encoder and the input symbols. Convolution coding adds patterns of redundancy to data in order to improve Signal toNoiseRatio (SNR) at the receiving end. Interleaver is used to performs reordering of datathatto be transmitted. Since error correcting codes are designed to protect against channel errorsthatmayoccurrandomlyorin a bursty manner, interleavers scramble the time order of source bits [17]. Source bits are the encoded bits. As a result corrective bursts of data are distributed over a large sequence of data to reduce the effect of burst errors. It enhances the error correcting ability of the codes used. 4.2 MC-CDMA Receiver At the receiver end of this system, along with OFDM receiver and CDMA receiver, consists an equalizer that performs equalization, de-interleaver that arranges the received sequence back into its original form and channel decoder that performs decoding of the de-interleaved data. Equalization compensates for intersymbol interference (ISI) created by multipath within time dispersive channels. ISI causes bit errors at the receiver and is considered to be a major factor that stands in the way of high speed data transmissions over the wireless channels and disrupts the smooth working of a communication system. Equalizationis a technique used to combat intersymbol interference. [17].It is a process that reverses the distortion incurred by a signal transmitted through a channel in digital communicationand helps in reducing ISI. By applying this method, the retrieval of transmitted symbols is possible. A simple linear filter can be used for equalization.
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 294 4.4 Parameters used fortheimplementationofMC- CDMA System Below are the lists of all the parameters andspecification applied for the execution and simulation of MC-CDMA system for Fixed WiMAX. Table -2: List of parameters used in MC-CDMA system Parameters Value Number of Users 1 Number of Subcarriers and size FFT 256 Modulation techniques BPSK, QPSK, 16 QAM Channel Bandwidth 5 MHz Spreading code Walsh Hadamard code Fading Channel Model Rayleigh, Rician SUI channel model SUI- (1-6) Table -3: Modulation used and channel coding values Modulation RS coding Convolution coding BPSK - CC(1/2) QPSK RS(44,36,2) CC(5/6) 16-QAM RS(64,48,4) CC(2/3) These tables given below are depicting SUI channel model values of three taps used for omnidirectional antenna.These values have been used in the implementation of the MC- CDMA system in this dissertation. Table -4: Tap for Power of SUI channels Channel model Tap 1 (db) Tap 2 (db) Tap 3 (db) SUI-1 0 -15 -20 SUI-2 0 -12 -15 SUI-3 0 -5 -10 SUI-4 0 -4 -8 SUI-5 0 -5 -10 SUI-6 0 -10 -14 Table -5: Tap for 90% K factor of SUI channels Channel model Tap 1 (db) Tap 2 (db) Tap 3 (db) SUI-1 4 0 0 SUI-2 2 0 0 SUI-3 1 0 1 SUI-4 0 0 0 SUI-5 0 0 0 SUI-6 0 0 0 4.3 Performance matrices Bit Error Rate (BER): BER is defined as the number of error bits divided by the total number of transmitted bits during a specific period. There are errors bits occurring within the received bits independent of rateoftransmission. By using MATLAB the BER is evaluated. The value of BER depicts the performance level of the system. Signal to Noise Ratio (SNR): SNR is the ratio of signal power to the noise power, expressedindecibels.Itcompares the level of desired signal to the level of background noise. It also referred to as the ratio of useful information to false or irrelevant data in a conversation or exchange. Mathematically, SNR is represented as SNRdb= 10log10 (Psignal/Pnoise) ………..(i) 5. RESULTS AND ANALYSIS The results and analysis of the implementation ofMC-CDMA system illustrated above are presented here. Results of implementation of MC-CDMA with and without equalization are exhibited below. The performance analysis shows the BER versus Eb/No. 5.1 Graphical results obtained using BPSK Modulation Chart -1: BER performance for Sui-1 model
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 295 Chart -2: BER performance for Sui-2 model Chart -3: BER performance for Sui-3 model Chart -4: BER performance for Sui-4 model Chart -5: BER performance for Sui-5 model Chart -6: BER performance for Sui-6 model Table -6: BER values using BPSK modulation SUI channel BER values Rician fading channel Rayleigh fading channel With Equalization Without Equalization With Equalization Without Equalization SUI-1 0.0247 0.0397 0.0206 0.2025 SUI-2 0.0202 0.5001 0.0779 0.4999 SUI-3 0.0557 0. 4997 0.0511 0.5319 SUI-4 0.0679 0. 4942 0.0422 0.4999 SUI-5 0.0632 0. 5114 0.0507 0.4890 SUI-6 0.0329 0. 5001 0.0341 0.4883 These above plots and the table show that BER performance for MC-CDMA improves when equalization is used and best
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 296 performance is achieved for Ricianfadingchannel whenSUI- 2 model is employed. The Eb/No value obtained is 23 and SNR value is 16.9794 for all the channel models. 5.2 Graphical results obtained using QPSK Modulation Chart -7: BER performance for Sui-1 model Chart -8: BER performance for Sui-2 model Chart -9: BER performance for Sui-3 model Chart -10: BER performance for Sui-4 model Chart -11: BER performance for Sui-5 model Chart -12: BER performance for Sui-6 model
  • 9. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 297 Table -7: BER values using QPSK modulation SUI channel BER values Rician fading channel Rayleigh fading channel With Equalization Without Equalization With Equalization Without Equalization SUI-1 0.0318 0.4997 0.0331 0.5004 SUI-2 0.0397 0.4999 0.4160 0.5075 SUI-3 0.0348 0.4988 0.0612 0.5044 SUI-4 0.0274 0.4890 0.0304 0.4953 SUI-5 0.0332 0.4995 0.0461 0.4904 SUI-6 0.0414 0.4958 0.0287 0.5004 The above plots and the table depicts that the best performance is achieved by Rician fading channel whenSUI- 4 model is employed. The Eb/No value obtained is 21 for all the channel modes and SNR value is 17.9897. 5.3 Graphical results obtained using 16-QAM Modulation Chart -13: BER performance for Sui-1 model Chart -14: BER performance for Sui-2 model Chart -15: BER performance for Sui-3 model Chart -16: BER performance for Sui-4 model Chart -17: BER performance for Sui-5 model
  • 10. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 298 Chart -18: BER performance for Sui-6 model Table -8: BER values using 16-QAM modulation SUI channel BER values Rician fading channel Rayleigh fading channel With Equalization Without Equalization With Equalization Without Equalization SUI-1 0.0423 0.2583 0.0409 0.2955 SUI-2 0.0423 0.5077 0.2107 0.5015 SUI-3 0.0471 0.428 0.0437 0.4989 SUI-4 0.1209 0.4990 0.0436 0.4724 SUI-5 0.2187 0.4981 0.2030 0.5003 SUI-6 0.0409 0.5015 0.0436 0.4973 These above plots and the table show that BER performance for MC-CDMA improves when equalization is used and best performance is achieved using Rician fading channel parameters when SUI-4model isemployed.TheEb/Novalue and SNR value obtained was 21 for all the channel models. 6. CONCLUSION MC-CDMA system for Fixed WiMAX parameters was analyzed with BPSK, QPSK and 16-QAM modulation schemes. Considering BER values the best performance was generated by 16-QAM modulation when Rician channel model with SUI-4 parameters was used. As for the SNR values were considered, again 16-QAM was able to generate the best result among the three modulations when used for MC-CDMA system. REFERENCES [1] B.Sarala, D.S.Venkateswarulu, B.N.Bhandari, “Overview of MC CDMA PAPRReduction Techniques",International Journal of Distributed and Parallel Systems (IJDPS), vol.3, No.2, March 2012, pp. 193-206. [2] B.vinodh kumar, A.Arul, M.Christopher, S.Arun kaviarasu, “Analysis and Design of MC-CDMA Based Mobile WIMAX for Different Modulation", International Journal of Advances in Electrical and Electronics Engineering, vol.2, Number 3, pp.338-342. [3] Javad Akbari Torkestanian, Mohammad Reza Meybodi, "An efficient cluster-based CDMA/TDMA scheme for wireless mobile ad-hoc networks: A learning automata approach", Journal of Network and Computer Applications, 27 January 2010, pp. 1-14. [4] Nilesh Chide, Shreyas Deshmukh, Prof. P.B. Borole, "Implementation of OFDM System using IFFT and FFT", International Journal of Engineering Research and Applications, ISSN: 2248-9622, Vol. 3, Issue 1, January 2013, pp.2009-2014. [5] B.vinodh Kumar, Arulpugazhendhi.M, A.Arul,” Performance Analysis of MC-CDMA Based FixedWiMAX Technology By RS Encoder For Different Modulation”, Int. Journal of Engineering Research and Applications, ISSN : 2248-9622, vol. 3, Issue, Sep-Oct 2013 , pp.1423- 1425. [6] Harish Sharma, Yogesh Bansal,“Analytical Evaluationof Fixed and Mobile WiMAX System Based on OFDM and MC-CDMA Systems”, International Journal Of Research Review In Engineering Science & Technology, ISSN 2278–6643 vol. 4, Issue 1, April 2015, pp. 268-278 [7] Mojtaba Seyedzadegan, Mohamed Othman, “ IEEE 802.16: WiMAX Overview, WiMAX Architecture”, International Journal of Computer Theory and Engineering, vol. 5, no. 5, October 2013, pp. 784-787 [8] A. Bouacha , F. T. Bendimerad , “Performance Study of the MC-CDMA as Physical Layer for Mobile WiMAX Technology”, International Journal of Computer Networking, Wireless and Mobile Communications , ISSN 2250-1568, vol. 3, Issue 2, June 2013, pp. 47-52 [9] Anjali Koranga, Geeta Joshi, “Comparative Study of OFDM & MC-CDMA in WiMAX System”, IOSR Journal of Electronics and Communication Engineering, e-ISSN: 2278-2834, p- ISSN: 2278-8735. vol. 9, Issue 1, Ver. IV January 2014, pp. 64-68 [10] B U Rindhe, D C Shah, S K Narayankhedkar, “OFDM and MC-CDMA for 4G Networks”, 2nd International Conference and workshop on Emerging Trends in Technology, 2011, pp. 30-37 [11] Abdul Hashib Siddique, A K M Arifuzzman and Mohammed Tarique, “Performance study of IEEE 802.16d under Stanford University Interim (SUI) Channel”, International Journal ofComputerNetworks& Communications (IJCNC), vol.5, no.2, March 2013, pp. 137-152 [12] Er. Vipin Mittal & Prof. S.R. Mittal, “A Cyclic Prefix OFDM System with BPSK Modulation”, Global Journal of Researches in Engineering Electrical and Electronics Engineering, Online ISSN: 2249-4596, vol. 12 ,Issue 7 ,Version 1.0 , July 2012, pp. 43-48
  • 11. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 299 [13] Amar Al-Jzari and Kostanic Iviva, “Cyclic Prefix Length Determination for Orthogonal Frequency Division Multiplexing System over Different Wireless Channel Models Based on the Maximum Excess Delay Spread”, American Journal of Engineering and Applied Sciences, 2015, pp. 82-93 [14] Bhupendra Kumar, Kuldeep Sharma, “Design and Analysis of IEEE 802.16 WiMAX System using Simulink Design and Analysis of IEEE 802.16”, International Journal of Research Review in Engineering Science & Technology,(ISSN 2278–6643),vol.4,issue-3,November 2015, pp. 48-51 [15] Amandeep Singh , Mandeep kaur, “Design and Implementation of Reed Solomon Encoder on FPGA”, World Academy of Science,engineeringandTechnology, International Journal of Computer, Electrica, Automation, Control and Information Engineering, vol. 7,no.9, 2013, pp.1248-1250 [16] Lathi B.P., Ding Zhi, Modern Digital and Analog Communication Systems, International Fourth Edition [17] Rappaport Theodore S. , Wireless Communications: Principle and Practice (2nd Edition)