Performance of DCO-OFDM in Optical Wireless Communication System

International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 06, Volume 3 (June 2016) www.ijirae.com
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Performance of DCO-OFDM in Optical Wireless
Communication System
Sakshi Verma
Department of Electronics and Communication
Engineering, MRIU, Faridabad, India
Shruti Vashist
Department of Electronics and Communication
Engineering, MRIU, Faridabad, India
Abstract- OFDM scheme is widely adopted as it has high data rate and good performance under various channel
conditions. In this paper, a number of unipolar optical OFDM scheme has been used for IM/DD system using
simulink. To develop such a complex system, this paper proposes MATLAB as the platform for its implementation.
The modeling of block diagram is done using Fast Fourier Transform and Hermitian symmetry. The concept of
Optical OFDM uses LED at the transmitter and Photodiode at the receiver to demonstrate the optical characteristics
of the system. The model has been implemented using different modulation techniques and under various channels.
The paper suggests that using QPSK modulation in white Gaussian noise with 5dB SNR gives best result in terms of
BER. Similarly, DBPSK modulation technique performs better with the increase in fading frequency. Thus, the
complete model description suggests novelty in the modulation schemes that can be accepted for channels applicable
in optical OFDM communication.
Keywords : OFDM, DCO-OFDM, FLIP-OFDM, IM/DD, AWGN and Rician Channel.
I. INTRODUCTION
OFDM is widely used in wireless communication system due to reduced inter symbol interference. OFDM is now
considered as a modulation technique for optical system. In conventional OFDM, the signals transmitted are in bipolar
and complex form. But, such signals are not suitable for transmission in IM/DD optical wireless system [1]. Therefore,
Hermitian symmetry is applied to the signal. This converts the bipolar and complex signals into real time signal. In
wireless optical signals, intensity modulation is done by LED’s and direct detection is done using photodiode [2]. There
are a number of schemes that make use of OFDM in optical Communication. Two forms of unipolar OFDM have been
considered in this paper: DCO-OFDM (DC biased Optical OFDM) and Flip-OFDM. In DC biased OFDM, a DC bias is
added to the signal. However, because of large peak to average power ratio of OFDM, even with a large bias some
negative peaks of the signal will be clipped. While in Flip-OFDM, the bipolar and complex signal is converted into
unipolar signal by applying hermitian symmetry. The unipolar signal consists of Positive and negative part. The flipped
negative component is transmitted after the positive part [3].
This paper provides a comparative analysis between the DCO-OFDM and Flip-OFDM for IM/DD optical system in
terms of BER and varying SNR and Doppler Frequency with different modulation techniques using three different
channels. In this paper, Section II describes the simulation model and both OFDM techniques. Section III describes the
proposed work with their results and related graphs. Section IV consists of conclusion and future scope on the basis of
work done.
II. SIMULATION MODEL
In this section, a brief discussion on DCO-OFDM and Flip-OFDM is presented.
A. HERMITIAN SYMMETRY
To drive light sources such as LED’s and Lasers, OFDM signal must be real and positive. To extract real OFDM
signals, the frequency symbols are confined to hermitian symmetry before passing through IFFT[4].
X(N-k)=X*(k), k=1,2…….,(
2
N
) -1 (1)
Where * denotes complex conjugation. To evade complex component in time domain, the DC and Middle
components are set to zero.
X(0) = X(
2
N
) = 0 (2)
By performing IFFT on X(k), the discrete time signal at IFFT output can be expressed as,

_________________________________________________________________________________________________
x(n)= )
1N
0k N
kn
πX(k)exp(j2


(3)
Thus,
x(n)= )0({
1
X
N 








1
2
1
2exp)(
N
k N
kn
jkX 
+ X exp j2
N
nN
2

+ 


1
1
2
exp)(
N
N
kX 2 } (4)
When DC and middle component are set to zero, the equation can be written as:
x(n)= {
1
N 








1
2
1
2exp)(
N
k N
kn
jkX  +



1
1
2
exp)(
N
N
kX
2 } (5)
Let k’=N-k, substituting k’ we get,
x(n)= {
1
N 








1
2
1
2exp)(
N
k N
kn
jkX  +




1
2
1'
exp)'(
N
k
kNX 2
( )
} (6)
Rearranging the above equation gives,
x(n)= ∑ ( ) 2 + ∑ ∗ ( ) − 2
= ∑ ( ) 2 − 2 ∑ ( ) − 2 (7)
where XR(k) and XI(k) are respectively the real and imaginary components of X(k). Due to hermitian symmetry of
signal, the imaginary part of the signal at the IFFT output becomes zero.
B. CHANNEL DESCRIPTION
In the proposed work, two channels have been used: AWGN and Rician.
1)AWGN Channel: To analyze modulation techniques, AWGN is the most commonly used model. White Gaussian
noise is added to the signal that passes through this channel. For all the frequencies, channel’s phase frequency
response is linear and amplitude frequency response is flat. Therefore, modulated signal goes without any phase
distortion and amplitude loss. Signal is not affected by fading while propagating through this channel.
The received signal is as follows:
r(t) = s(t) + n(t) (8)
where s(t) and n(t) are transmitted and noise signal respectively[5].
2)Rician Channel: Rician fading arises, when Line of sight is present between the transmitter and the receiver. It
can also be stated that, rician fading arises when Rayleigh fading has strong LOS.
Rican distribution is described as follows:
= (9)
The model becomes Rayleigh fading if the value of k=0 and if k approaches ∞, then it gets converted into AWGN
channel[5].
C. OPTICAL OFDM MODEL
In OFDM system, the IFFT operation is applied to a frequency domain signal X=[Xo,X1,X2,…..XN-1] to generate a
discrete time domain signal X=[x(0),X(1),X(2)….X(N-1)].

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x(n) = IFFT(Xk) =








1
0
2exp
1 N
k
k
N
kn
jX
N
 (11)
Where N is the IFFT size and j2
=-1[3]. In OWC, electrical signal has to be real and positive valued for IM/DD
scheme. While, the output of IFFT operation is in complex form. So, a real signal is obtained by applying the
hermitian symmetry:
Xn = X*N-n, n = 0,1,2….,N/2-1 (10)
Where, * denotes complex conjugate. X0 and XN/2 are set to zero and do not carry information [6]. The unipolar
signal thus obtained after applying hermitian symmetry is used to modulate the intensity of LED. At the receiver,
received optical signal is converted into an electrical form by the photodiode. In this paper, AWGN channel, rician
channel and Rayleigh channel has been considered [3].
1)FLIP-OFDM
The unipolar signal comprises of a positive and a negative part.
x[n] = x+
[n] + x-
[n], (11)
where, polarities positive x+
[n] and negative x-
[n] are obtained as described below:
[ ] =
0, < 0
[ ], ≥ 0
[ ] =
[ ], < 0
0, ≥ 0
The cyclic prefix of ∆ samples are appended to each subframe [6]. In the first frame, positive polarity is transmitted,
while flipped version of negative polarity is transmitted in the second frame with a delay of N+∆ samples.
Therefore, all the samples are positive real valued in both the frames[3].
At the receiver, reconstruction of bipolar OFDM symbols is done from positive and flipped polarities. Now, from
both the data frames, cyclic prefix are removed and then original bipolar signal is retrieved after performing
subtraction operation.
( ) = ( ) − ( ) (12)
Where, y+
(n) is the positive part and y-
(n) is the flipped part of the frame. Now, original complex conjugate data is
obtained by performing FFT operation on the above bipolar signal. Binary stream is reconstructed from the complex
signal by the demodulation process[7].
Fig 1: Block Diagram of Flip-OFDM

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2) DCO-OFDM
To remove the negative peaks, a suitable DC bias is applied to the unipolar signal. Cyclic prefix is added to the
signal. As OFDM signals have very high PAPR, so a large DC bias is required. But, it makes the system inefficient
in terms of optical power. So a moderate DC bias is applied. In this paper, an ideal optical modulator is used.
Therefore, the intensity of output optical signal is directly proportional to the input current. The resulting signal is
transmitted over an AWGN channel. On the receiver side, the received signal is first converted from an optical signal
to an electrical signal using a photodiode. Now the appended cyclic prefix and the signal is converted from serial to
parallel. The signal then passes through the FFT block. Then it is demodulated and converted from parallel to serial
data[8].
Fig 2 : Block Diagram of DCO-OFDM
III. PROPOSED WORK
This paper evaluates the performance of two different optical OFDM models. In the previous work done so far, the
authors did not suggest the applicability of different modulation techniques and different effects of channel. Thus,
the current paper emphasizes strongly on the usage of modulation schemes and the channel effects that deeply drive
the IM/DD optical OFDM system. Now, the DCO-OFDM model has a performance comparison related to four
different modulation schemes and two different channels. The analysis shows that 8 QAM is the best modulation
scheme with a minimum BER value over a wide range of SNR in additive white Gaussian noise. The results of SNR
v/s BER for AWGN channel are tabulated in table 1.
The best results of DCO OFDM appear in 8 QAM using AWGN channel. The results show that the value of BER
comes close to 0.178 to 0.138 when SNR is varied between 1 to 5 dB. Similarly, when DCO OFDM model is
modeled with Rician channels, it shows a good level of BER and SNR relationship using DBPSK modulation. Best
results could be seen in fading channels for BER when Doppler frequency is 1 to 5 Hz, and BER varies between
0.007 to 0.008.
TABLE 1 : SNR V/S BER FOR DCO-OFDM WITH AWGN CHANNEL.
SNR
DB
BER (AWGN CHANNEL)
8 QAM 16 QAM BPSK QPSK
1 0.178 0.1937 0.2661 0.2677
2 0.166 0.1904 0.2434 0.2449
3 0.155 0.189 0.2186 0.2206
4 0.146 0.1879 0.1918 0.1936
5 0.138 0.187 0.1645 0.166

_________________________________________________________________________________________________
TABLE 2 : DOPPLER FREQUENCY V/S BER FOR DCO-OFDM WITH RICIAN CHANNEL.
DOPPLER
FREQUENCY
BER (RICIAN CHANNEL)
DBPSK DQPSK BPSK QPSK
1 0.00764 0.09132 0.4937 0.5166
2 0.00763 0.09133 0.4938 0.5165
3 0.00761 0.09132 0.4939 0.5166
4 0.00765 0.09135 0.4942 0.5166
5 0.00767 0.09131 0.4944 0.5166
Fig 3 : BER v/s SNR for AWGN channel
Fig. 4 : BER v/s Doppler Frequency for Rician channel
The Fig 3 shows that 8-QAM gives best result with AWGN channel. While, DBPSK shows best result with Rician
channel. Now, the FLIP-OFDM model has a performance comparison related to three different modulation schemes
and three different channels. The analysis shows that 8 QAM is the best modulation scheme with a minimum BER
value over a wide range of SNR in additive white Gaussian noise. The simulation results are depicted in table 3.
The best results of Flip-OFDM appears in 8 QAM using AWGN channel. Now, implementation indicates the value
of BER comes close to 0.26 to 0.21 when SNR is varied between 1 to 5 dB. Similarly, Flip-OFDM when modeled
with Rician fading channel shows a good level of BER and SNR relationship when DBPSK modulation scheme.
Best results could be seen in fading channels for BER when Doppler frequency is 1 to 5 Hz, and BER varies between
0.092 to 0.098.

_________________________________________________________________________________________________
TABLE 3 : SNR V/S BER FOR FLIP-OFDM WITH AWGN CHANNEL.
SNR
DB
BER (AWGN CHANNEL)
8 QAM 16 QAM BPSK QPSK
1 0.26 0.2538 0.352 0.3431
2 0.2457 0.2493 0.335 0.3244
3 0.234 0.2451 0.3162 0.3054
4 0.221 0.242 0.295 0.2808
5 0.21 0.241 0.2715 0.255
TABLE 4 : DOPPLER FREQUENCY V/S BER OF FLIP-OFDM WITH RICIAN CHANNEL.
DOPPLER
FREQUENCY
BER (RICIAN CHANNEL)
DBPSK DQPSK BPSK QPSK
1 0.09287 0.3022 0.4928 0.4875
2 0.09311 0.3023 0.4931 0.4875
3 0.0932 0.3024 0.4934 0.4876
4 0.0933 0.3023 0.4928 0.4877
5 0.0939 0.3024 0.493 0.4877
Fig 5 : BER v/s SNR for AWGN channel
Fig 6 : BER v/s Doppler Frequency for Rician channel

_________________________________________________________________________________________________
IV. CONCLUSIONS
The optical wireless communication technique has shown a tremendous demand over the past few years resulting change
in the technological demand. To cope up with latest technological advancements the paper intends to propose a novel
modulation technique that could be offered in the optical wireless communications. The expectation of complete
modeling is to induce a analysis of BER with varying SNR and Doppler frequencies. After thorough calculation and
simulation the analysis proves that DCO OFDM system performs better than FLIP OFDM using 8 QAM modulation
technique. The BER is approximately 13 to 17 % in DCO and 21 to 26% in Flip-OFDM. Thus an improvement of 35% in
BER for DCO-OFDM indicates that for future technological purposes the DCO-OFDM will be used and further
improvements can be made. The modeling is done using SIMULINK. However, the extension of work in this paper has
also been done by incorporating fading effects. Due to fading, the optical system may suffer losses. So, the analysis
proves that differential BPSK modulation scheme can be used in Rician fading channel.
REFERENCES
[1]. Sarangi Devasmitha Dissanayake, “Comparison of ACO-OFDM, DCO-OFDM and ADO-OFDM in IM/DD
systems”, Journal of lightwave technology, VOL. 31, No. 7, April 1, 2013.
[2]. Mohammad Sufyan Islim, “A generalized solution to the Spectral Efficiency Loss in Unipolar Optical OFDM-
based systems”,
[3]. Robert J Baxley, “Achievable Data Rate Analysis of Clipped FLIP-OFDM in Optical Wireless Communication”,
Journal on wireless communication and networking.
[4]. Fatima BARRAMI, ‘Low Complexity direct detection optical OFDM systems for high data rate communications’,
April 2015.
[5]. Garima Mathur, “Performance Analysis of MIMO OFDM System for Different Modulation Schemes under Various
Fading Channels”, International Journal of Advanced Research in Computer and Communication
Engineering,Vol.2, Issue 5,May 2013.
[6]. Nirmal Fernando, “Flip-OFDM for Unipolar Communication Systems”, Dec 14, 2011.
[7]. Rashed Islam, “Analysis of DCO-OFDM and Flip-OFDM for IM/DD Optical-Wireless System”, 8th
international
Conference on Electrical and Computer Engineering(IEEE), Dec 14, Dhaka, Bangladesh.
[8]. Sanjana C Saju, “Comparison of ACO-OFDM and DCO-OFDM in IM/DD systems” IJERT, Vol. 4, Issue 04, April
2015.

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