Performance Analysis of BER and Throughput of Different MIMO Systems using Different Modulations

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1296
Performance analysis of BER and Throughput of different MIMO
systems using different modulations
Harsha Karande1, Manasi Dixit2
1M.E student, Dept. of Electronics Engineering, KIT’s College of Engineering, Maharastra, India
2Professor Dept. of Electronics Engineering, KIT’s College of Engineering, Maharastra, India
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Abstract - The main aim of 4g LTE mobile communication
system is to integrate with large Varity of communication
services as high speed data transfer, video call as wellasaudio
and internet access services without buffering. Now a days
mobile communication is playing very important role in
telecommunication industry through wide area radio access
technique. The flexibility of WiMAX and LTE networkisable to
combine the mobile and fixed broadband network. The OFDM
technique is wildly used for data transferinmanywirelessand
wired multicarrier communication systems. The IEEE802.16
standard is related to air interface to gather the requirement
of ITU for 4G mobile network. Long term evolution (LTE) uses
OFDM techniques along with MIMOforbettercommunication.
It is capable of data transfer in high speed without losing
performance and efficiency. OFDM overcomesthechallenge of
providing high speed access with security. this paper
represents the performance analysis of OFDM systeminMIMO
downlink system and achieve high data rate, getting low bit
error rate (BER) with respect to the SNR (signal to noise
ratio). The modulation technique QPSK, 16QAM, 64QAM is
used. The SNR and guard intervalinOFDMsignalimproves the
system performance for transmission.
Key Words: Binary Phase Shift Keying (BPSK), multiple-
input multiple-output (MIMO), orthogonal frequency
division multiplexing (OFDM), Bit error rate (BER),
Additive White Gaussian Noise (AWGN)
1. INTRODUCTION
In the wireless communication with multiple transmit and
multiple receive antenna systemcanprovidehighcapacityof
transition at low probability of bit error with extremely low
power, even in highly densed populated urban areas. In
recent few years,orthogonal frequencydivisionmultiplexing
(OFDM) has been started to use widely in communications
systems to operate in frequency division channels.
Combination of MIMO-OFDM communication system has
significantly improved capacity and reliability by using the
robustness ofOFDMtofading.Orthogonal frequencydivision
multiplexing (OFDM) is the most promising multi-carrier
modulation (MCM) technique used in next generation
wireless communication networks due to its high
performance comparative to narrow-band interference and
simplicity of transceivers. It has been provedinrecentyears
that the use of MIMO system can potentially increasethe use
of spectral efficiency for wireless communication in the
multipath fading environment. MIMO technique is the one
which uses multiple antennas at both the transmitter and
receiver to improve communication performance between
users because it increases data throughput and link range
with limited bandwidth or transmitter power. Antenna
diversity is the function that iseffective enoughtoreducethe
effects of multipath fading. The use of multiple antennas at
the transmission and reception end is expected to results in
improvement quality of the broadband communication
services. This technique is well known as Multiple Input
Multiple Output (MIMO) founded by Alamouti who
previously discovered a scheme by using two antennas at
sender end with one receiving antenna. This is also capable
to provide the same diversity with a single antenna
transmitter and two receiving antennas. This MIMO
technique can be integrate with the multicarriermodulation
OFDM. MIMO take also important fundamental role in LTE
development by 3G and 4G n/w. In the OFDM technique
breaks the high rate data flow into the form of low data rate
flow which can be easily transmitted at same time over the
number of sub-carrier channels.
1.1 OFDM
OFDM technique uses multi carrier transmission in which
data is transmitted on a set of orthogonal independent sub
carriers of frequency spectrum. by the elimination of guard
bands in OFDM systems leads to minimize the wastage of
bandwidth along with measure improvement in
performance in multi path environment. Multiplexing with
OFDM is a promising mechanism to perform multicarrier
data modulation with maximum utilization of available
bandwidth and high performance characteristics profile
against fading in multipath communication.Itcanbedefined
as MIMO (Multiple Input and Multiple Output) in
combination with other modulation schemes which can
increase capacity, reliability of internet services and
multimedia application. Combination of MIMO and OFDM
technique reduces the equalization complexities by the
transition of different data on different frequency levels to
achieve spectral efficiency and error recovery features,
which will leads to offer high spatial rate by transmitting
data on multiple antennas and transmission in Non-Line-of
sight (NLOS). Thus the MIMO-OFDM technique is widely
used to achieve diversity. It will utilize the three
fundamental parameters that is frequency multiplexing

(OFDM), time and spatial MIMO (Multiple Input Multiple
Output). The MIMO-OFDM is the regenerative and most
famous services for Wireless broad band communication.
OFDM is very key technology for next-generation cellular
data communications as (3GPPLTE, Mobile WiMAX, IMT-
Advanced) and as well as wireless LAN (IEEE 802.11a, IEEE
802.11n), wireless PAN (MBOFDM), and broadcasting (DAB
DVB, and DMB)
1.2 MIMO System
MIMO is wireless technology which uses multiple
transmitters and receivers to transfer more data atthesame
time for accuracy. All wireless schemes with 802.11n
supports MIMO, which is the part of technology that permits
802.11n to get much higher speed than products without
802.11n. When MIMO technique was suggested in the mid-
to-late 1990s by Gerard Foschini and others, they introduce
bandwidth efficiency of such techniques seemed to be in
violation of the Shannon limit. But, there was no such
violation because the diversity and signal processing
delivered with MIMO, transforms a point-to-point single
channel into multiple parallel channels or matrix channels,
hence in effect with multiplying the capacity. MIMO offers
spectral efficiency with high data rates. MIMO is also an
important part of the 802.11n standards used by your
wireless router as well as 802.16 for Mobile WiMAX used by
your cell phone. MIMO has several differentdiversitymodes
are available, and that are Time diversity, Frequency
diversity, Space diversity.
Fig. (1): OFDM-MIMO block diagram
2. Modulation Techniques
2.1 Binary-phase-shift-keying (BPSK)
BPSK is the first and simplest form of phase shift keying
mechanism. It uses two phases which are differ by 180° and
so it can also be treated as 2-PSK. It doesnotactuallymatters
the position allocation of the constellation points are, and in
the figure (1) they are pointed on the real axis, at 0° and
180°. The data is often encoded and differentiated to
modulation. Functionally BPSK is very equivalent to 2-QAM
modulation. The principle equation of BPSK is eq. (1):
BPSKoutput= ........(1)
Where = fundamental frequency of input (hertz)
=reference carrier frequency
Fig.(2): constellation diagram of BPSK
2.2 Quadrature-phase-shift-keying (QPSK)
At sometimes QPSK is known as quadric-phase PSK, 4-PSK,
or 4-QAM. QPSK can encode the two bits per symbol with
four phases and with Gray coding which minimize the bit
error rate (BER) sometimes misperceived as the twice BER
of BPSK. QPSK either can be used to double the data rate
transfer compared with a BPSK system withmaintainingthe
same bandwidth of the signal. The advantage of QPSK
modulation over BPSK is, QPSK transmits the double data
rate in a given bandwidth compared to BPSK modulation at
the same BER. The principle equation (2) is:
s(t) = { Acos (2πfct + π/ 4 ) for binary 11
Acos (2πfct + 3π/ 4) for binary 01
Acos (2πfct − 3π/ 4) for binary 00
Acos (2πfct – π/ 4) for binary 10}
.............(2)
Fig.(3): constellation diagram of QPSK mod.

2.3 Quadrature amplitude modulation (QAM)
QAM technique is both an analog and a digital modulation
scheme. It transfers the two analog message signals, or two
digital bit streams, by changing or encoding the amplitudes
of two carrier waves by using the amplitude-shift keying
(ASK) digital modulationtechniqueoramplitude modulation
(AM) that is analog modulation scheme. The two sinusoidal
carrier waves which are out of the phase with each other by
90° and thats why called Quadrature carriers or Quadrature
components hence QAM is the name of the scheme. The
modulated waves are added together, and the resulting
waveform is the combination of both phase shift keying
(PSK) and amplitude-shift keying (ASK), or (for the analog
case) of phase modulation and amplitude modulation.Inthe
case of digital QAM, at least two phases with finite numbers
and at least two amplitudes are used. PSK modulators are
designed by using the QAM principle, but they are not
considered as QAM because the amplitude of the modulated
carrier signal is constant. The principle equation (3)
.......... (3)
Fig.(4): Constellation dia. of 16-QAM mod.
Fig,(5): Constellation of 64-QAM mod.
3. SIMULATION RESULT
The model was implemented inMATLAB-R2014a simulation
according to the above described systems for convolution
coding techniques. Performance analysis of BER Vs SNR
curve, throughput Vs SNR curve of transmit diversity and
spatial multiplexing, of 2*2 MIMO is done for
communication channel like AWGN with Rayleigh channel
using QPSK, 16-QAM,64-QAM,modulationtechniques.Here
we have transmit our data with the help of OFDM technique
in which large numbers of closely-spaced orthogonal sub-
carriers are used and they carry data and performance is
plotted by bit error rate verses signal to noise ratio.
Fig.(6): throughput Vs SNR of spatial multiplexing
Fig.(7): Throughput Vs SNR of Transmit Diversity

Fig.(8): BER Vs SNR curve of spatial multiplexing
Fig.(9): BER Vs SNR curve of transmit diversity
4. CONCLUSIONS
From the above discussion and simulation result it is
suggested that Spatial multiplexing is ideal to achieve very
high peak rates, while the transmit diversity is a valuable
scheme to minimize the bit error rate of occurrence and
thereby can used to improve signal quality. Therefore
suggestion is that transmit diversity can be utilized where
channel conditions determines for Low SNR Range and
multiplexing for High SNR Range.
5. REFERENCES
[1] MIMO Technologies in 3GPP LTE and LTE-Advanced
Juho Lee,1 Jin-Kyu Han,1 and Jianzhong (Charlie)
Zhang2 Hindawi Publishing Corporation EURASIP
Journal on Wireless Communications and Networking
Volume 2009, Article ID 302092, 10 pages
doi:10.1155/2009/302092]
[2] Sunil Joshi1, Deepak Gupta2, S. Z. Haque3, Neha
Kothari1 ,P.C. Bapna , “Effect of Antenna Spacing OnThe
Performance Of Multiple Input Multiple Output Lte
Downlink In An Urban Microcell” International Journal
of Wireless & Mobile Networks (IJWMN) Vol. 4, No. 6,
December 2012
[3] Pratima Sharma, Bhaskar Singh and Pushpraj Singh
Tanwar “A Review in Multiple Modulation Techniques
16 and 64 QAM MIMO-OFDM BPSK-QPSK-PSKSYSTEM”
International Journal of Electrical, Electronics and
Computer Engineering 3(1): 196-200(2014) ISSN No.
(Online): 2277-2626.
[4] Sahasha Namdeo, Reena Rani “Designing and
Performance Evaluation of 64 QAMOFDMSystem”IOSR
Journal of Electronics and Communication Engineering
(IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278- 8735.
[5] Xu Zhang “Modeling & Performance Analysis of QAM-
based COFDM System” University of Toledo August
2011.
[6] Surekha, T.P “Modeling and Performance Analysis of
QAM-OFDM System with AWGN Channel” 978-1- 4577
0855-8, 17-18 July 2011
[7] Sanjivan Satyal “BER Performance of OFDM with GI in
SISO and MIMO System” International Journal of
Computer Applications (0975 – 8887) Volume 104 –
No.5, October 2014.
[8] Ruchin Mangl , Maninder Singh “Performance
Comparison of MIMO-OFDM Transceiver Wireless
Communication System using QAM and QPSK
Modulation Schemes” ISSN: 2319 – 1120
/IJAEST/V1N2:66-72 IJAEST.
[9] T.P. surekha, T. Ananthapadmanabha “Modeling and
Performance Analysis of QAM-OFDM System with
AWGN Channel”978-1-4577-0856-5/11/$26.00©2011
IEEE.

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