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Performance evaluation of LTE OFDM using adaptive modulation
ABSTRACT:-
The growing requirements of mobile broad band services like MIMO, combined with
OFDM involved in 4g wireless networks were met by Long Term Evolution (LTE). OFDM is used
in communication systems to provide high data rates, and is more immune to intercarrier
interference, and intersymbol interference. OFDM has become the core of LTE system.
The performance of the system is evaluated in terms of signal to noise ratio and spectral
efficiency and simulation of the system is carried out in MATLAB environment. The simulation is
carried out for different bandwidths and a comparison plot is shown for SNR (dB) Vs spectral
efficiency(bits/Hz).
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Performance evaluation of LTE OFDM using adaptive modulation
AIM OF THE PROJECT: To evaluate the performance of LTE OFDM system using
adaptive modulation scheme in indoor and outdoor. The performance of the system is
evaluated in terms of signal to noise ratio and spectral efficiency and simulation is carried out in
LTE’s indoor and outdoor in MATLAB environment.
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CHAPTER 1
INTRODUCTION
1.1 overview
OFDM is a multicarrier modulation technique compared to FDM which is a single carrier
modulation technique used in communication systems, to cope with severe channel
conditions without complex equalization filters. OFDM uses many slowly- modulated
narrow band signals instead of one wideband modulated signal. OFDM is able to
eliminate ISI and ICI by making use of a guard interval with low symbol rate.
The aim of our project is to provide an OFDM system, its main structure and analysing
the system by simulation results. This OFDM system supports different modulation
schemes and is used to study the effect of the variation of different design parameters
on OFDM systems for different bandwidths. The bandwidth of an LTE system ranges
from 5MHz to 25MHz.
1.1.1 Inter symbol Interference (ISI)
One fundamental problem for communication systems is ISI. It is a fact that every
transmission channel is time-variant. Two adjacent symbols are likely to experience
different channel characteristics including time delays. This is particularly true in
wireless channels and mobile terminals communicating in multipath conditions. For low
bit rates (narrowband signal), the symbol rate is sufficiently long so that delayed
versions of the signal all arrive with the same symbol. They do not spill over to
subsequent symbols and therefore there is no ISI. As data rates go up and/or the
channel delay increases (wideband signal), ISI starts to occur. Traditionally, this has been
overcome by equalization techniques, linear predictive filters and rake receivers. This
involves estimating the channel conditions. This works well if the number of symbols to
be considered is low. Assuming BPSK, a data rate of 10 Mbps on a channel with a
maximum delay of 10 µs would need equalization over 100 symbols. This would be too
complex for any receiver. In HSDPA, data rate is as high as 14.4 Mbps. But this uses
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Performance evaluation of LTE OFDM using adaptive modulation
QAM16 and therefore the baud rate is not as high. Using a higher level modulation
requires better channel conditions and a higher transmit power for correct decoding.
HSDPA also uses multi code transmission which means that not all of the data is carried
on a single code. The load is distributed on the physical resources thus reducing ISI
further. Today the need is for even higher bit rates. A higher modulation scheme such as
QAM 64 may be employed. Orthogonal frequency division multiplexing involves multi
carrier transmission which divide bandwidth into smaller bandwidths and these
bandwidths are provided to each carrier. Instead of transmitting a signal with large
bandwidth, the data stream is divided among the carriers with smaller bandwidths.
When the symbol duration increases, then intersymbol interference (ISI) is eliminated
and less equalisation is required.
1.1.2 Proposals of OFDM
Initial proposals for OFDM were made in the 60s and the 70s. It has taken more than a
quarter of a century for this technology to move from the research domain to the
industry. The concept of OFDM is quite simple but the practicality of implementing it
has many complexities. A single stream of data is split into parallel streams each of
which is coded and modulated on to a subcarrier, a term commonly used in OFDM
systems. Thus the high bit rates seen before on a single carrier is reduced to lower bit
rates on the subcarrier. It is easy to see that ISI will therefore be reduced dramatically.
This sounds too simple. When didn’t we think of this much earlier? Actually, FDM
systems have been common for many decades. However, in FDM, the carriers are all
independent of each other. There is a guard period in between them and no overlap
whatsoever. This works well because in FDM system each carrier carries data meant for
a different user or application. FM radio is an FDM system. FDM systems are not ideal
for what we want for wideband systems. Using FDM would waste too much bandwidth.
This is where OFDM makes sense. In OFDM, subcarriers overlap. They are orthogonal
because the peak of one subcarrier occurs when other subcarriers are at zero. This is
achieved by realizing all the subcarriers together using Inverse Fast Fourier Transform
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Performance evaluation of LTE OFDM using adaptive modulation
(IFFT). The demodulator at the receiver parallel channels from an FFT block. Note that
each subcarrier can still be modulated independently. Ultimately ISI is conquered.
Provided that orthogonality is maintained, OFDM systems perform better than single
carrier systems particularly in frequency selective channels. Each subcarrier is multiplied
by a complex transfer function of the channel and equalising this is quite simple
1.1.3 Basic considerations
An OFDM system can experience fades just as any other system. Thus, coding is required for all
subcarriers. We do get frequency diversity gain because not all subcarriers experience fading at
the same time. Thus, a combination of coding and interleaving gives us better performance in a
fading channel. Higher performance is achieved by adding more subcarriers but this is not
always possible. Adding more subcarriers could lead to random FM noise resulting in a form of
time-selective fading. Practical limitations of transceiver equipment and spectrum availability
mean than alternatives have to be considered. One alternative is to add a guard band in the
time domain to allow for multipath delay spread. Thus, symbols arriving late will not interfere
with the subsequent symbols. This guard time is a pure system overhead. The guard time must
be designed to be larger than the expected delay spread. Reducing ISI from multipath delay
spread thus leads to deciding on the number of subcarriers and the length of the guard period.
Frequency-selective fading of the channel is converted to frequency-flat fading on the
subcarriers.
1.2 Problem statement
The focus of the future generation(5g) mobile system is on supporting higher data rates and
providing seamless services across a multitude of wireless systems and networks.
1.3 Motivation
The ultimate goal of wireless communication technology is to provide universal personal and
multimedia communication irrespective of mobility and location with high data rates. When the
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data is transmitted at high data bit rates over mobile radio channels then the channels may
cause: Severe fading of transmitted signals when passed through channel Inter symbol
interference(ISI)
CHAPTER 2
LTE ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING
2.1 Introduction:
In a single carrier communication system, the symbol period must be much greater than the
delay time in order to avoid inter-symbol interference (ISI). Since data rate is inversely
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proportional to symbol period, having long symbol periods means low data rate and
communication inefficiency. A multi carrier system, such as FDM (Frequency Division
Multiplexing), divides the total available bandwidth in the spectrum into sub-bands for multiple
carriers to transmit in parallel. An overall high data rate can be achieved by placing carriers
closely in the spectrum. However, inter-carrier interference (ICI) will occur due to lack of
spacing to separate the carriers. To avoid inter- carrier interference, guard bands will need to
be placed in between any adjacent carriers, which results in lowered data rate. OFDM
(Orthogonal Frequency Division Multiplexing) is a multicarrier digital communication scheme to
solve both issues. It combines a large number of low data rate carriers to construct a composite
high data rate communication system. Orthogonality gives the carriers a valid reason to be
closely spaced, even overlapped, without inter-carrier interference. Low data rate of each
carrier implies long symbol periods, which greatly diminishes inter-symbol interference.
Although the idea of OFDM started back in 1966, it has never been widely utilized until the last
decade when it “becomes the modem of choice in wireless applications”. It is now interested
enough to experiment some insides of OFDM. This objective is met by developing a MATLAB
program to simulate a basic OFDM system. From the process of this development, the
mechanism of an OFDM system can be studied; and with a completed MATLAB program, the
characteristics of an OFDM system can be explored. Orthogonal frequency division multiplexing
has also been adopted for a number of broadcast standards from DAB Digital Radio to the
Digital Video Broadcast standards, DVB. It has also been adopted for other broadcast systems
as well including Digital Radio Mondiale used for the long medium and short-wave bands.
Although OFDM, orthogonal frequency division multiplexing is more complicated than earlier
forms of signal format, it provides some distinct advantages in terms of data transmission,
especially where high data rates are needed along with relatively wide band widths.
2.2 What is OFDM? - The concept
OFDM is a form of multi carrier modulation. An OFDM signal consists of a number of closely
spaced modulated carriers. When modulation of any form - voice, data, etc. is applied to a
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Performance evaluation of LTE OFDM using adaptive modulation
carrier, then sidebands spread out either side. It is necessary for a receiver to be able to receive
the whole signal to be able to successfully demodulate the data. As a result, when signals are
transmitted close to one another they must be spaced so that the receiver can separate them
using a filter and there must be a guard band between them. This is not the case with OFDM.
Although the sidebands from each carrier overlap, they can still be received without the
interference that might be expected because they are orthogonal to each another. This is
achieved by having the carrier spacing equal to the reciprocal of the symbol period.
To see how OFDM works, it is necessary to look at the receiver. This acts as a bank of
demodulators, translating each carrier down to DC. The resulting signal is integrated over the
symbol period to regenerate the data from that carrier. The same demodulator also
demodulates the other carriers. As the carrier spacing equal to the reciprocal of the symbol
period means that they will have a whole number of cycles in the symbol period and their
contribution will sum to zero-in other.
One requirement of the OFDM transmitting and receiving systems is that they must be linear.
Any non-linearity will cause interference between the carriers as a result of inter-modulation
distortion. This will introduce unwanted signals that would cause interference and impair the
orthogonality of the transmission.
In terms of the equipment to be used the high peak to average ratio of multicarrier systems
such as OFDM requires the RF final amplifier on the output of the transmitter to be able to
handle the peaks whilst the average power is much lower and this leads to inefficiency. In some
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Performance evaluation of LTE OFDM using adaptive modulation
systems the peaks are limited. Although this introduces distortion that results in a higher level
of data errors, the system can rely on the error correction to remove them.
2.3 Data on OFDM
The data to be transmitted on an OFDM signal is spread across the carriers of the signal, each
carrier taking part of the payload. This reduces the data rate taken by each carrier. The lower
data rate has the advantage that interference from reflections is much less critical. This is
achieved by adding a guard band time or guard interval into the system. This ensures that the
data is only sampled when the signal is stable and no new delayed signals arrive that would
alter the timing and phase of the signal.
FIG: OFDM Spectrum
The distribution of the data across a large number of carriers in the OFDM signal has some
further advantages. Nulls caused by multi- path effects or interference on a given frequency
only affect a small number of the carriers, the remaining ones being received correctly. By using
error-coding techniques, which does mean adding further data to the transmitted signal, it
enables many or all of the corrupted data to be reconstructed within the receiver. This can be
done because the error correction code is transmitted in a different part of the signal.
2.4 OFDM advantages and disadvantages
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2.4.1 Advantages
OFDM has been used in many high data rate wireless systems because of the many advantages
it provides.
Immunity to selective fading: One of the main advantages of OFDM is that is more resistant to
frequency selective fading than single carrier systems because it divides the overall channel into
multiple narrowband signals that are affected individually as flat fading sub-channels.
Resilience to interference: Interference appearing on a channel may be bandwidth limited and
in this way will not affect all the sub-channels. This means that not all the data lost
Spectral efficiency: Using close-spaced overlapping sub-carriers, a significant OFDM
advantage is that it makes efficient use of the available spectrum.
Resilient to ISI: Another advantage of OFDM is that it is very resilient to intersymbol and
inter-frame interference. This results from the low data rate on each of the sub-
channels.
Resilient to narrow-band effects: Using adequate channel coding and interleaving it is
possible to recover symbols lost due to the frequency selectivity of the channel and
narrow band interference. Not all the data is lost.
Simpler channel equalisation: One of the issues with CDMA systems was the
complexity of the channel equalisation which had to be applied across the whole
channel. An advantage of OFDM is that using multiple sub-channels, the channel
equalization becomes much simpler.
2.4.2 Disadvantages
High peak to average power ratio: An OFDM signal has a noise like amplitude variation
and has a relatively high large dynamic range, or peak to average power ratio. This
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impacts the RF amplifier efficiency as the amplifiers need to be linear and
accommodate the large amplitude variations and these factors mean the amplifier
cannot operate with a high efficiency level.
Sensitive to carrier offset and drift: Another disadvantage of OFDM is that is sensitive to
carrier frequency offset and drift. Single carrier systems are less sensitive.
2.5 OFDM variants
There are several other variants of OFDM for which the initials are seen in the technical
literature. These follow the basic format for OFDM, but have additional attributes or variations:
2.5.1 COFDM
Coded Orthogonal frequency division multiplexing. A form of OFDM where error correction
coding is incorporated into the signal.
2.5.2 Flash OFDM
This is a variant of OFDM that was developed by Flarion and it is a fast-hopped form of OFDM.
It uses multiple tones and fast hopping to spread signals over a given spectrum band.
2.5.3 OFDMA
Orthogonal frequency division multiple access. A scheme used to provide a multiple access
capability for applications such as cellular telecommunications when using OFDM technologies.
2.5.4 VOFDM
Vector OFDM. This form of OFDM uses the concept of MIMO technology. It is being developed
by CISCO Systems. MIMO stands for Multiple Input Multiple output and it uses multiple
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Performance evaluation of LTE OFDM using adaptive modulation
antennas to transmit and receive the signals so that multi-path effects can be utilised to
enhance the signal reception and improve the transmission speeds that can be supported.
2.5.4 WOFDM
Wideband OFDM. The concept of this form of OFDM is that it uses a degree of spacing between
the channels that is large enough that any frequency errors between transmitter and receiver
do not affect the performance. It is particularly applicable to Wi-Fi systems.
Each of these forms of OFDM utilise the same basic concept of using close spaced orthogonal
carriers each carrying low data rate signals. During the demodulation phase the data is then
combined to provide the complete signal.
OFDM, orthogonal frequency division multiplexing has gained a significant presence in the
wireless market place. The combination of high data capacity, high spectral efficiency, and its
resilience to interference as a result of multi-path effects means that it is ideal for the high data
applications that have become a major factor in today's communications scene.
ORTHOGONALITY
In a multi carrier transmission system, a very small frequency gap is provided among the
carriers without having intercarrier interference (ICI). When the carriers are orthogonal to each
other, minimum space is reached, and signals overlap with each other without causing
interference. This is called orthogonality in OFDM. IFFT exhibits the orthogonality property.
ADAPTIVE MODULATION
Adaptive Modulation means dynamically varying the modulation in an errorless manner in
order to maximize the throughput under momentary propagation conditions. In other words, a
system can operate at its maximum throughput under clear sky conditions.
The target of adaptive modulation is
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1. To increase throughput or data rate
2. To increase resource reliability
3. To increase quality of service (communication quality)
LTE
This LTE (Long Term Evolution) is involved in 4G family, to provide higher data rate from
100Mbps - 200Mbps, to support applications such as Mobile TV, Video conferencing, Tele-
medicine, online gambling, etc. LTE is based on criteria developed by the 3rd Generation
Partnership Project (3GPP). The 3rd Generation Partnership Project (3GPP) is an
organization that defining a mobile system that achieves the IMT-2000 standard. LTE may
also be referred as Evolved UMTS Terrestrial Radio Access (E-UTRA) and Evolved UMTS
Terrestrial Radio Access Network (E-UTRAN). It provides scalable bandwidth stats from
1.25MHz up to 20+ MHz. LTE infrastructures are planned to be as simple through flexible
technology with a broad diversity of frequency bands. The technology used for Downlink is
OFDMA to attain the peak data rate of 100Mbit/s and Uplink is based on Single Carrier
FDMA (SC-FDMA) to attain a peak data rate of 50Mbit/s. LTE provide connected
automobiles, which produce a broad reach of broadband services and also facilitate better
speed on current as well as new mobile applications.
The main methodology in LTE to achieve high data rate, high QOS and bandwidth
efficiency is using MIMO. The OFDM is a multicarrier transmission scheme which provides
several advantages like eliminating the ISI, efficient use of spectrum by overlapping the
subcarriers using the orthogonality principle and provides robustness against Co channel
interference. The existing channel estimation methods, assume an invariant wireless
channel within one OFDM symbol which leads to ICI (Inter Carrier Interference) problem in
high mobility LTE system by losing the orthogonality between the subcarriers reduced by
cyclic prefix.
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CHAPTER 3
BLOCK DIAGRAM
3.1 BLOCK DIAGRAM OF LTE OFDM SYSTEM:
Fig 3.1: Block diagram of LTE OFDM system
The transmitter section converts digital data to be transmitted, into a mapping of subcarrier
amplitude and phase. It then transforms this spectral representation of the data into the time
domain using an Inverse Discrete Fourier Transform (IDFT). The Inverse Fast Fourier Transform
(IFFT) performs the 20 same operations as an IDFT, except that it is much more computationally
efficient, and so is used in all practical systems. In order to transmit the OFDM signal the
calculated time domain signal is then mixed up to the required frequency. The receiver
performs the reverse operation of the transmitter, mixing the RF signal to base band for
processing, then using a Fast Fourier Transform (FFT) to analyze the signal in the frequency
domain. The amplitude and phase of the subcarriers is then picked out and converted back to
digital data. The IFFT and the FFT are complementary function and the most appropriate term
depends on whether the signal is being received or generated. In cases where the signal is
independent of this distinction then the term FFT and IFFT is used interchangeably. The high
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SERIAL TO PARALLEL
PARALLEL TO SERIALP
FFTFHSERIAL TO PARALLELS A / DHH
IFFTiiPARALLEL TO SERIAL
D / ADH
CHANNEL
Performance evaluation of LTE OFDM using adaptive modulation
data rate serial input bit stream is fed into serial to parallel converter to get low data rate
output parallel bit stream. Input bit stream is taken as binary data. The low data rate parallel bit
stream is modulated in Signal Mapper. Modulation can be BPSK, QPSK, QAM, etc. The
modulated data are served as input to inverse fast Fourier transform so that each subcarrier is
assigned with a specific frequency. The frequencies selected are orthogonal frequencies. In this
block, orthogonality in subcarriers is introduced. In IFFT, the frequency domain OFDM symbols
are converted into time domain OFDM symbols. Guard interval is introduced in each OFDM
symbol to eliminate inter symbol interference (ISI). All the OFDM symbols are taken as input to
parallel to serial data. These OFDM symbols constitute a frame. A number of frames can be
regarded as one OFDM signal. This OFDM signal is allowed to pass through digital to analog
converter (DAC). In DAC the OFDM signal is fed to RF power amplifier for transmission. Then
the signal is allowed to pass through additive white Gaussian noise channel (AWGN channel). At
the receiver part, the received OFDM signal is fed to analog to digital converter (ADC) and is
taken as input to serial to parallel converter. In these parallel OFDM symbols, Guard interval is
removed and it is allowed to pass through Fast Fourier transform. Here the time domain OFDM
symbols are converted into frequency domain. After this, it is fed into Signal Demapper for
demodulation purpose. And finally the low data rate parallel bit stream is converted into high
data rate serial bit stream.
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CHAPTER 4
SIMULATED RESULTS AND DISCUSSIONS
4.1 INTRODUCTION TO MATLAB
MATLAB is widely used in all areas of applied mathematics, in education and research at
universities, and in the industry. MATLAB stands for MATrix LABoratory and the software is
built up around vectors and matrices. This makes the software particularly useful for linear
algebra but MATLAB is also a great tool for solving algebraic and differential equations and for
numerical integration. MATLAB has powerful graphic tools and can produce nice pictures in
both 2D and 3D. It is also a programming language, and is one of the easiest programming
languages for writing mathematical programs. MATLAB also has some tool boxes useful for
signal processing, image processing, optimization, etc.
The name MATLAB stands for MATrix LABoratory. MATLAB was written originally to provide
easy access to matrix software developed by the LINPACK (linear system package) and EISPACK
(Eigen system package) projects.
MATLAB is a high-performance language for technical computing. It integrates computation,
visualization, and programming environment. Furthermore, MATLAB is a modern programming
language environment. it has sophisticated data structures, contains built-in editing and
debugging tools, and supports object-oriented programming. These factors make MATLAB an
excellent tool for teaching and research.
MATLAB has many advantages compared to conventional computer languages (e.g., C,
FORTRAN) for solving technical problems. MATLAB is an interactive system whose basic data
element is an array that does not require dimensioning. The software package has been
commercially available since 1984 and is now considered as a standard tool at most universities
and industries worldwide.
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RESULTS:
Figure 4.1: plot for 5 MHz bandwidth.
The above figure shows the plot for both indoor and outdoor for bandwidth of 5MHz. Here the
SNR value is 10-30 dB and the Spectral efficiency is 3.7 bits/Hz for indoor and 2.0 bits/Hz for
outdoor.
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Figure 4.2: plot for 10 MHz bandwidth.
The above figure shows the plot for both indoor and outdoor for bandwidth of 10MHz. Here the
SNR value is 10-30 dB and the Spectral efficiency is 4.0 bits/Hz for indoor and 3.9 bits/Hz for
outdoor.
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Figure 4.3: plot for 15 MHz bandwidth.
The above figure shows the plot for both indoor and outdoor for bandwidth of 15MHz. Here
the SNR value is 10-30 dB and the Spectral efficiency is 2.7 bits/Hz for indoor and 2.7 bits/Hz for
outdoor.
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Figure 4.4: plot for 20 MHz bandwidth.
The above figure shows the plot for both indoor and outdoor for bandwidth of 20MHz. Here
the SNR value is 10-30 dB and the Spectral efficiency is 1.6 bits/Hz for indoor and 4.0 bits/Hz for
outdoor.
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Figure 5: plot for 25 MHz bandwidth.
The above figure shows the plot for both indoor and outdoor for bandwidth of 25MHz. Here
the SNR value is 10-30 dB and the Spectral efficiency is 2.9 bits/Hz for indoor and 2.9 bits/Hz for
outdoor.
CHAPTER 5
CONCLUSION
We conclude that in this project the performance of an OFDM LTE system is evaluated or
measured in terms of SNR and spectral efficiency and a comparison table showing the
differences in indoor and outdoor environment with the help of SNR Vs Spectral efficiency plot
is drawn with different bandwidths 5MHz, 10MHz, 15MHz, 20MHz, 25MHz. From this plots we
are concluding that the strength of the spectral efficiency of the indoor environment is better
than the strength of the spectral efficiency of the outdoor environment. Plots are drawn with
the fixed SNR of 10 to 30dB.
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