A NEW PULSE SHAPE USED TO REDUCE THE ICI POWER IN
OFDM SYSTEMS
Alexandra Ligia Balan
1
and Nicolae Dumitru Alexandru
2
1
Department of Computer, Electronics and Automation, “Ştefan cel Mare” University of Suceava
Str. Universitatii, no.13, 720229, Suceava, Romania
2
Department of Telecommunications, “Gh. Asachi” Technical University of Iaşi, Bd. Carol, I no 11, 700506, Iaşi, Romania
Keywords: Orthogonal Frequency Division Multiplexing (OFDM), Inter-symbol Interference (ISI), Inter-carrier
Interference (ICI), Frequency Offset, Bit Error Rate (BER).
Abstract: In this paper we analyze a new pulse shape in order to reduce ICI power in a N-subcarrier OFDM system.
The aim is to obtain a small average ICI power and a convenient bit error rate (BER). We focused our paper
on three aspects of the analysis, average ICI power, the ratio of average signal power to average ICI power,
which is denoted as SIR, and the BER performance for OFDM systems.
1 INTRODUCTION
Orthogonal Frequency Division Multiplexing is a
modulation technique used in communication
systems. However, a well-known problem in OFDM
is its sensitivity to frequency offset errors that
destroy the sub-carriers orthogonality, causing a
degradation of system performance in terms of inter-
carrier interference (ICI).
The OFDM technique uses the principle of
multi-carrier transmission to convert a serial high-
rate data stream into multiple parallel low-rate sub-
streams. Each sub-carrier is modulated by another
sub-stream. The symbol rate on each subcarrier is
much less than the initial serial data symbol rate and
the effects of inter-symbol interference (ISI)
decrease significantly.
In order to minimize ICI in OFDM systems, a
number of methods have been developed recently.
Some of these methods are using new pulse shaping
techniques (Tan and Beaulieu, 2004); (Mourad,
2006); (Kumbasar and Kucur, 2007); (Alexandru
and Alexandru, 2010).
In the sequel, our paper proposes a new pulse
shape used in OFDM systems and investigates its
properties exploring inter-carrier interference (ICI)
and bit error rate (BER) performance for OFDM
systems.
2 PROBLEM STATEMENT
In this section we will briefly review some basic
notions used to describe the inter-carrier interference
analysis. The OFDM system model and ICI analysis
followed the same technique as in the work of Tan
and Beaulieu (2004).
The average ICI power, (Tan and Beaulieu,
2004); (Kumbasar and Kucur, 2007), averaged
across different sequences is:
1
0
2
N
k
mk
m
ICI
f
T
mk
P
(1)
The average ICI power depends not only on the
desired symbol location,
m , and the transmitted
symbol sequence, but also on the pulse-shaping
function at the frequencies

,/ fTmk
,mk
1,...,1,0 Nk
and the number of
subcarriers.
The ratio of average signal power to average ICI
power is denoted as signal-to-interference ratio SIR,
(Tan and Beaulieu, 2004; Kumbasar and Kucur,
2007) and is expressed as
 
1
0
22
//
N
k
mk
fTmkPfPSIR
(2)
Besides the ICI power (P
ICI
), BER also has an
important role in evaluating the performance of an
308
Balan A. and Alexandru N..
A NEW PULSE SHAPE USED TO REDUCE THE ICI POWER IN OFDM SYSTEMS.
DOI: 10.5220/0003814503080311
In Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems (PECCS-2012), pages 308-311
ISBN: 978-989-8565-00-6
Copyright
c
2012 SCITEPRESS (Science and Technology Publications, Lda.)
OFDM communications system. It is desirable to
obtain a balance between a small P
ICI
and also a
satisfactory BER, having as a result an efficient
pulse.
A detailed analysis of the BER performance for
OFDM systems is presented by Khoa (2008). The
expressions of the bit error rate (BER) are derived
using a BPSK transmission and an OFDM system
with BPSK modulation over the AWGN channel.
Based on the analysis performed in the work of
Khoa (2008), the BER of an OFDM system can be
obtained as a function of frequency offset,

0 ff , phase error
, average ICI power and

fP . The OFDM system model is proposed by Tan
and Beaulieu (2004) employing BPSK modulation
over the AWGN channel.
Kumbasar and Kucur (2007) have proposed a
new pulse shaping function to reduce ICI in OFDM
systems and denoted as improved sinc power pulse
(ISP). Numerical and simulation results show that
the ISP pulse shape, which is a modification of SP
pulse (Mourad, 2006), provides a good improvement
regarding ICI power, as compared to previously
reported pulse shapes.
Recently we have proposed (Alexandru and
Onofrei, 2010) a new type of pulse that is a
generalization of ISP pulse defined by Kumbasar
and Kucur, (2007). Its Fourier transform can be used
to decrease ICI in OFDM systems. To define the
new shape a generalized formula for

fP was used
() ( )
{}
()()()
()()
2
sin sin
exp
sin
n
SM
fb cfT
Pf afT
fb cfT
pp
pp
-
=-
-
ìü
ïï
ïï
íý
ïï
ïï
îþ
(3)
Figure 1: Comparison of ISP pulse shape and the new
pulse shape.
3 PULSE CHARACTERISTICS
Based on our earlier studies and analysis we propose
a new pulse shape used to obtain improved
performance with respect to the reduction of average
ICI power of a N-subcarrier OFDM systems.
To construct the new pulse we started from the
pulse shape proposed by Jayasimha and Singh,
(2000). The new pulse shape is defined in the
frequency domain as:


n
f
fT
fH
2
41
2sinc
)(
(4)
The new proposed pulse is plotted in Figure 1
together with the ISP pulse for different values of
the parameters. A closer look reveals that the tails of
the new pulse are smaller. Therefore we expect to
obtain improved performance in term of ICI
analysis.
4 SIMULATION RESULTS AND
DISCUSSIONS
In this section we illustrate the performance of the
new proposed pulse and compare it with results
recently reported in literature. Using the recently
proposed techniques for ICI and BER analysis (Tan
and Beaulieu, 2004); (Kumbasar and Kucur, 2007);
(Khoa, 2008), we study the performance of the new
pulses in a 64-subcarrier OFDM-BPSK
communication system.
4.1 ICI Analysis
In the sequel we followed the same model presented
by Tan and Beaulieu (2004), to evaluate the average
ICI power and the average signal power to average
ICI power ratio (SIR). The simulations results are
obtained for a 64-subcarrier OFDM system.
4.1.1 The Average ICI Power
In order to observe the improvements achieved for
the new pulse, in term of average ICI power, we
study its behavior compared with ISP pulses taken
as a reference.
The results obtained from average ICI power
analysis are presented in Figure 2. We observe that
performance of the proposed pulses is superior to
ISP pulse (Kumbasar and Kucur, 2007).
Figure 2 shows that the proposed pulse
outperforms reference pulses in terms of average ICI
power, for all the selected values of the parameters.
From Figure 2 we observe the decrease in ICI power
due to the increase of the sinc function degree.
A NEW PULSE SHAPE USED TO REDUCE THE ICI POWER IN OFDM SYSTEMS
309
Figure 2: Comparison of average ICI power for the new
pulse shape and ISP pulse, in a 64-subcarrier OFDM
system.
The variations of average ICI power with sample
location m are presented in Figure 3. The normalized
frequency offset is
05.0fT .
Studying the results plotted in this figure we
observe the decrease in ICI power due to the
increase of the sinc function degree. The best results
were obtained for n=4.
For comparison purposes, we have represented in
Figure 3, the ICI power for the new pulse (n=2 and
n=4) together with the rectangular pulse (RP), raised
cosine (RC), BTRC (Beaulieu, Tan and Damen,
2001) and ISP (Kumbasar and Kucur, 2007) pulses.
For new pulse (n=2), the ICI power is -67.20dB,
which is by 46.26 dB better than RP, 34.9 dB better
than RC, 27.26 dB better than BTRC, 9.76dB better
than ISP (a=1, n=2).
With respect to the new pulse, with n=4, we
observed good improvements and the ICI power is -
135.98 dB, which is by 115.04 dB better than RP,
103.68 dB better than RC, 96.04 dB better than
BTRC, 26.84dB better than ISP (a=1, n=4).
Figure 3: ICI power for different sample locations in a 64-
subcarrier OFDM system; (
05.0
fT ).
As expected, the ICI drops for the samples
located near sample locations 0 and N-1, because
these samples have fewer interfering samples.
Figure 4: SIR for different pulse shapes in a 64-subcarrier
OFDM system.
4.1.2 The Signal-to-interference Ratio SIR
The comparative performances of these pulses in a
64-subcarrier OFDM system in terms of the average
signal power to average ICI power ratio, denoted as
SIR, are illustrated in Figure 4. Looking at Figure 4,
we observe that the results obtained for the SIR ratio
show better performance for the new pulse as
compared with those obtained for the ISP pulse,
which is taken as a reference.
4.2 BER Analysis
Further, this section investigates the bit error rate
(BER) as a function of the signal to noise ratio per
bit (
0
N
E
SNR
b
b
) value.
In Figure 5 it is plotted the BER versus SNR
(signal-to-noise ratio) for different values of the
parameters a, and n that are involved in the pulse
shape equations. We compared the known ISP pulse
and RP pulse with the new pulse shape proposed in
this paper.
The effect of the carrier phase noise,
, in a
BPSK-OFDM system with
1.0fT is evident.
From the results illustrate in the Figure 6, it can be
noticed that a smaller carrier phase noise,
determines an improvement of BER.
From the figures 5a and 5b it can be seen that the
proposed pulse exhibits better performance than the
reference pulses, when the design parameters are
1,5.0
na
and
1,1
na
for ISP pulse and
1
n for the new pulse. We observe that the
improvements are visible in the first case presented
(Figure 5a). In Figure 5a it is represented with
dashed line the results obtained for the new pulse.
The results are better for both cases
o
30
and
o
10
(thicker line). In Figure 5b we observe that
PECCS 2012 - International Conference on Pervasive and Embedded Computing and Communication Systems
310
(a) (b)
Figure 5: BER performance of an OFDM-BPSK system using the new proposed pulse, ISP pulse and RP pulse with
1.0fT , N = 256.
the results obtained for the new pulse are also better
than the results obtained for the ISP pulse even if
improvements are not as obvious as in Figure 6a.
One can notice that the results obtained for the
BER versus SNR of an OFDM BPSK system are
better or comparable with the results obtained for all
reference pulses.
Even if in some cases the obtained results are
comparable or slightly worse than those known in
the literature we can say that the proposed pulse has
theoretical and practical importance because it is
characterized by low-complexity and a smaller
number of parameters that are involved in pulse
shape design.
5 CONCLUSIONS
In this paper we studied the performance of a N-
subcarrier OFDM systems in the presence of
frequency offset, in terms of ICI and BER
performance.
We have investigated a new pulse shape, which
according to the analysis performed above presents
significant improvements in the reduction of inter-
carrier interference (ICI) power caused by the
frequency offset. The SIR performance increase with
the new pulse shape, as compared to the ISP pulse
shape and conventional pulse shapes.
We studied the effects of the carrier phase noise
and pulse shaping on BER of an N-subcarrier
OFDM-BPSK system as a function of the carrier
frequency offset
f
, the carrier phase noise
,
average ICI power and P( f ).
It should be pointed out that in this paper we
investigated a new pulse characterized by low
complexity and a smaller number of parameters that
are involved in pulse shape design.
Numerical and simulation results show that the
proposed pulse presents theoretical and practical
importance.
ACKNOWLEDGEMENTS
This paper was supported by CNCSIS-UEFISCSU
Project number RU-107/2010.
REFERENCES
Tan P., Beaulieu N. C., 2004. Reduced ICI in OFDM
Systems Using the Better Than Raised-Cosine Pulse
IEEE Communications Letters, 8(3), pp.135-137.
Mourad, H. M., 2006. Reducing ICI in OFDM systems
using a proposed pulse shape, Wireless Personal
Communications, 40, pp 41–48.
Kumbasar V., Kucur O., 2007. ICI reduction in OFDM
systems by using improved sinc power pulse, Digital
Signal Processing, 17, pp. 997–1006.
Khoa N. L., 2008. Insight on ICI and its effects on
performance of OFDM systems”, Digital Signal
Processing, 18, pp. 876–884.
Beaulieu N. C, Tan C. C., Damen M. O., 2001. A better
than Nyquist pulse, IEEE Communications Letters, 5,
pp.367–368.
Alexandru N. D, Onofrei A. L., 2010. ICI Reduction in
OFDM Systems Using Phase Modified Sinc Pulse,
Wireless Personal Communications, 53, pp. 141–151.
S. Jayasimha, P. K. Singh., 2000. Design of Nyquist and
Near-Nyquist Pulses with Spectral Constraints,
http://www.signion.com.
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