Computer-Based Analysis of The Performance of Different Modulation Techniques in Wcdmasystem Withdifferent Channels.

The International Journal Of Engineering And Science (IJES)
|| Volume || 5 || Issue || 8 || Pages || PP -30-34 || 2016 ||
ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805
www.theijes.com The IJES Page 30
Computer-Based Analysis of The Performance of Different
Modulation Techniques in Wcdmasystem Withdifferent
Channels.
B. O. Omijeh1
, and J. U. Emenike2
1
Department of Electronic and Computer Engineering, University of Port Harcourt, Choba, Port Harcourt.
Nigeria
2
Centre for Information and Telecommunications Engineering, University of Port Harcourt, Choba, Port
Harcourt. Nigeria.
--------------------------------------------------------ABSTRACT-----------------------------------------------------------
The wideband code division multiple access (WCDMA) mobilewireless networks is among the lot of experiences
digital communication has had for its tremendous growth. WCDMAnetworks are meant to provide a diverse
amount/range of multimedia services tomobile users with assured quality of service (QoS). To achieve this, our
report is dwelling mainly on the analysis of the performanceof Phase Shift Keying modulation(M-PSK)and M-
Ary Pulse Amplitude Modulation (PAM)in WCDMA with different modulation channels,by comparing channel
element like Bit Error Ratein RAYLEIGH fading and AWGN Channels using Matlab/Simulink. This research
analysis will assist/enable us determine which modulation technique is performance effective in WCDMAsystem
via any of these channelsat higher run time and M-Ary number.
Keywords: M-PSK, M-Ary PAM, Bit Error Rate, WCDMA
-------------------------------------------------------------------------------------------------------------------------------------
Date of Submission: 17 May 2016 Date of Accepted: 05 July 2016
I. INTRODUCTION
WCDMA (Wideband Code Division Multiple Access)is deployed in UMTS (Universal Mobile
Telecommunication System) as the platform for 3G cellular network so as to providehigher data rate
communication, which results in efficient transfer of video streams and pictures with high resolution to the end
users at a faster rate. It hence becomes necessary to choose a suitable modulation technique to be used in
WCDMA system (Omijeh and Udoh ,2015).
WCDMA applies the spread spectrum technique, where the transmissions are spread over a wide bandwidth of
5MHz. It has a peak data rate for uplink and downlink transmission of 384kbps unlike GSM, which has a peak
data rate of 14.4kbps, and downlink speed of WCDMA is 2Mbps to GSM with a downlink speed of 384kbps.
Because of higher data rate, WCDMA can cover more area with fewer towers. Hence, WCDMA is a better
technology than GSM. However, with higher data rate of transmission and increase in the amount of users in the
network, there is a higher probability of errors due to noise and interference of data in the channels. To combat
these shortcomings, the system needs better modulators, demodulators, filters and a transmission path to
incorporate an optimum modulation technique (Omijeh and Ehikhamenle,2015).Hence, in this paper we shall
use Simulink to compare a few modulation techniques with two different channels in the WCDMA system to
find out which is better, because with higher data rate of transmission and increase in the number of users in the
network, there is a higher probability of errors due to noise and interference of data in the channels. This
comparism in this research is with respect to BER, run time and M-Ary numbers.
II. THEORETICAL REVIEW
Bit Error Rate:
In the system of digital transmission, the number or amount of bit errors is the number of bits received from a
data stream over a communication which has been manipulated due to interference,noise, distortion bit or
synchronization errors. The BER gives the upper limit for the signal due to the fact that some degradation occurs
at the end of the receiver (Omijeh and Agoye ,2015).
The bit error ratio or bit error rate(BER) is the bit errors number divided by the total number of bits transferred
during a studied period interval. BER is a unit less performance measure, often expressed as a percentage.
The probability of bit error PE is the expectation value of the BER. The BER can be taken as an approximate
estimate of the probability of bit error. In a channel with much noise, the BER is usually expressed as a function
of the normalized carrier-to-noise ratio measure denoted Eb/N0 (Tharakanatha et al, 2013).

Computer-Based Analysis Of The Performance Of Different Modulation Techniques In ..
Pulse Amplitude Modulation (M-Ary PAM)
Pulse-amplitude modulation (PAM) is a system of signal modulation in which the message information is
encoded in the amplitude of a series of signal pulses (Vishwas, 2012; Rashmi, 2016). M-ary PAM is a one-
dimensional signaling technique expressed as:
Where the
And, Eo is the energy of the signal with lowest amplitude.
The average symbol energy:
The probability of symbol error on AWGN channel:
Phase Shift Keying (M-PSK)
In the communication industryPhase Shift Keying (PSK) is widely used. PSK is a large class of digital
modulation systems. Here in this research book, we will discuss a few PSK modulation scheme and analyze the
effectiveness of the schemes in 2 different channels with respect to BER (Saiful et al, 2015: Omijeh and
Adabanya, 2015).
The BPSK is one of the simplest forms of Phase Shift Keying (PSK). The phase of the signal is being shifted
and they are separated by an angle of 180 degrees and this is also known as 2-PSK. The Constellation diagram
for BPSK is usually drawn on real axis 0°and 180°. This modulation scheme is more robust and best suites cases
that provides secure communication [2]. Quadrature Phase Shift Keying (QPSK) adds 2 more phases; 90 and
270 degrees. Therefore 2 symbols per bit have the possibility of being transmitted (Ruchi et al, 2016).
Rayleigh Fading
Since the propagation of signal takes place in the atmosphere and close to the ground, asides the effect of free
path loss, Ls, multipath propagation is the most common or notable effect of signal degradation. This particular
effect can cause fluctuations in the amplitude of the received signal, phase and angle of arrival, resulting to the
terminology multipath fading.Generally, two fading effects exist in mobile communications and they include: i)
large-scale and, ii) small-scale fading (Ling, 1995).
The signal that is received consists of large number of multiple reflective paths and there is no line-of-sight
signal component(Ling, 1995).
AWGN (Additive White Gaussian Noise)
For a communication system that is ideal, the communication channel is only anticipated with additive white
Gaussian noise in which it is not affected by inter-symbol interference (ISI). This serves as a good starting point
for comprehending basic performance relationships. Thethermal noise generated in the receiver end is the
primary source of performance degradation (Omijeh and Agoye, 2015).
Mathematically, thermal noise is expressed thus:
z = a +n (2) (5)
𝜓 𝑡 =
2
𝑇𝑏
cos 2𝜋𝑓𝑐 𝑡
𝐸 𝑎𝑣 =
(𝑀2
− 1)
3
𝐸 𝑜
𝑠 𝑖 𝑡 = 𝐴 𝑖 cos 2𝜋𝑓𝑐 𝑡 𝑖
= 1,2, … 𝑀
=
2𝐸𝑖
𝑇
cos 2𝜋𝑓𝑐 𝑡
=
2𝐸 𝑜
𝑇
ai cos 2𝜋𝑓𝑐 𝑡
= 𝑎 𝑖 𝐸 𝑜 𝜓(𝑡)
(1)
(2)
(3)
(4)

Where pdf for Gaussian noise can be represented as follows where is the variance of n.
A simple model for thermal noise assumes that its power spectral density Gn(f) is a flat for all frequencies and is
denoted as;
Such that the factor of 2 is being included to show that Gn(f) is a two-sided power spectral density [7].
III. METHODOLOGY
Matlab/Simulink was used to develop a model with which efficiencies of M-ary PAM and M-ary PSK via
different modulation techniques (AWGN and Rayleigh) were analyzed (Weizheng, 1997; Omijeh, 2016). Figure
1 Shows the model-based design using Simulink.
Fig. 1(a) PSK in WCDMA with AWGN and Rayleigh Fading modulation channels
Fig. 1(b) PAM in WCDMA with AWGN and Rayleigh Fading modulation channels
(6)

IV. RESULTS AND DISCUSSIONS
The results obtained after simulation are summarized in figures 2-9.
In Fig.2 and Fig.3, for M-PSK and M-PAM through the AWGN channel, we can see that the BER is minimal
when the M-file is 2, and the BER is progressive as the M-file is increased.
Also in Fig.2 to Fig.5, as both modulation schemes are analyzed through Rayleigh channel, the BER is also
minimal between M-Ary numbers of 2, 4 and 8, and hence progresses as the M-Ary numbers does.
In this paper, in Fig.6 we also have that as the simulation run time is varied at intervals of 100 up till 1000, and
M-PSK passes through AWGN channel, the BER is regularly progressive at different M-Ary number. But in
Fig.7 the BER is irregular at different M-Ary number when the M-PSK is passed through Rayleigh channel.
Finally, in Fig.8 we see that as the simulation run time is varied at intervals of 100 up till 1000, as M-PAM
passes through AWGN channel, the BER is not displayed in this analysis because of our model, whereas in
Fig.9 the BER is once again irregular at different M-Ary number when the M-PSK is passed through Rayleigh
channel.
Below are graphs showing the results of performance of both modulation schemes through the 2 different
channels as simulation run time and M-Ary numbers are varied;

V. CONCLUSION
The aim of advancement in telecommunication is to transfer information from one end to the other with minimal
interference, noise and lose of signal/bits.
In this paper, based on our analysis we can say that it is more efficient to apply the system of M-PAM via the
AWGN channel in WCDMA system since the BER is lower compare to the case when M-PSK is passed via
AWGN channel considering the variation in M-Ary number.
The system of M-PSK via Rayleigh in WCDMA system is more efficient than that of M-PAM via Rayleigh in
WCDMA system because the BER is lower at different M-Ary numbers when compared.
And as the run time increases (or varied), the BER increases i.e. in AWGN channel (for M-PSK), while it is
irregular in Rayleigh channel (for both modulation schemes in their various M-Ary numbers).
Since this irregularity occurs in Rayleigh channel, it is seen that at higher run times the BER can be reduced
whereas it is not achievable in the case of AWGN. Hence, we are not saying it is the best choice, but depending
on the situation, one can decide which system to apply especially to achieve clearer transmission.
REFERENCES
[1]. Ling.F (1995):“Matched filter-bound for time-discrete multipath Rayleigh fading channels,”
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[3]. Rashmi Suthar, Sunil Joshi, Navneet Agrawal(2016): Performance Analysis of Different M-ARY Modulation Techniques in
Cellular Mobile Communication,IP Multimedia Communications A Special Issue from IJCA - www.ijcaonline.org.accessed 2016
[4]. Ruchi G,Arora.A.K, Akhilesh k.Y(2016):Comparison of Different Multipath Channel, Based on Bit ErrorRate by Using Higher
Order Modulation Techniques For Wcdma, International Journal of Advances in Engineering Science and Technology,
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[7]. Omijeh .B.O and Ehikhamenle.M (2015): Modelling And Analysis Of A Cdma2000 Physical Layer Using Awgn To Emulate A
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[8]. Omijeh .B.O and Agoye.S.D.O (2015): Comparative Evaluation of Different Digital Modulation Schemes on AWGN, LOS and
Non-LOS Fading Channels Based on BER Performance. International Journal of Scientific & Engineering Research, Volume 6,
Issue 10, October-2015
[9]. Omijeh.B.O and Udoh.M.I (2015) : Performance Analysis of the WCDMA End-To-End Physical Layer
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[12]. Saiful Islam, Hasan Rahman, Jakeya Sultana (2015): Performance Analysis of QAM and QPSK in AWGN and Multipath Fading
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[13]. Tharakanatha1.G, Mahaboob kamal.S.K, basha, Vijay Bhaskar chanda, I. Hemalatha4 (2013): Implementation and Bit Error Rate
analysis of BPSK Modulation and Demodulation Technique using MATLAB, International Journal of Engineering Trends and
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[14]. Vishwas G. G, Sandhya .S (2012): Performance Analysis of Different M-ARY Modulation Techniques over wireless fading
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