Mitigating Four-Wave Mixing
Mitigating Four-Wave Mixing
Analysis of radio over fiber system for mitigating Four-Wave Mixing effect
PII: S2352-8648(18)30055-5
DOI: https://doi.org/10.1016/j.dcan.2019.01.003
Reference: DCAN 152
Please cite this article as: N. Kathpal, A.K. Garg, Analysis of radio over fiber system for mitigating
Four-Wave Mixing effect, Digital Communications and Networks (2019), doi: https://doi.org/10.1016/
j.dcan.2019.01.003.
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Digital Communications and Networks(DCN)
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Namita Kathpal∗a , Amit Kumar Garga
a Departmentof Electronics Communication Engineering, Deenbandhu Chhotu Ram University of Science and Technology,
Murthal, Sonepat, Haryana- India
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Abstract
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In this paper, an efficient 8-channel 32Gbps RoF system incorporating Bessel Filter (8/32 RoF-BF) has been demonstrated
to reduce the impact of non-linear transmission effects specifically Four-Wave Mixing (FWM). The simulation results indicate
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that the proposed (8/32 RoF-BF) system provides an optimum result w.r.t. channel spacing (75GHz), input source power
(0dBm) and number of input channels (8). On comparison with existing RoF system, the proposed 8/32 RoF-BF system has
been validated analytically also and it is found that the performance of the proposed system seems to be in close proximity
particularly in FWM sideband power reduction of the order of 4dBm for 8-channel 32Gbps RoF system.
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KEYWORDS:
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Dispersion Compensating Fiber, Four-Wave Mixing, Radio over Fiber, Single Mode Fiber, Wavelength Division Multiplexer
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rise in data rates [1]. To satisfy this growing demand low attenuation, immunity to electromagnetic inter-
for high capacity and high-speed broadband wireless ference and superior signal integrity. Therefore, it
access, the microcellular system was discovered. This enables the transmission of the signal over long dis-
system consists of many small cells that have allured tances, thus improving the mobility and ubiquity of
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attention as a productive method for attaining high wireless networks [5, 6]. A general RoF architecture
speed and high capacity communication by enhanc- is shown in Figure 1. RoF network comprises all the
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ing frequency utilization. But this system has cer- equipment mandatory to convert electrical to an op-
tain limitations as it requires a huge investment to im- tical signal and vice-versa. Traditional optical com-
plement numerous base stations (BSs) to shroud the munication links operate at 1310/1550 nm wavelength
whole service area. The inevitability for complicated in order to increase their data transmission capabili-
channel control techniques among BSs for spectral de- ties. At the transmitter, the incoming RF signal is
livery and the handoff procedure inflates the invest- modulated by using direct or external modulation. In
ment. This huge increase in data traffic can be con- the downlink transmission from CS to BS, the input
trolled by implementing system architecture in which RF signal modulates the optical source which gener-
complicated functions are performed at a control sta- ates output wavelength that has an amplitude which
tion (CS) rather than at BS [2, 3]. One main access changes in accordance with the change of laser DC
biasing current. The optical wavelengths generated
by laser diode are coupled into WDM which in turn
∗ Namita Kathpal (Corresponding author) transported to the BS via optical fiber. At the BS,
(email:namitakathpal2016@gmail.com).
1 Amit Kumar Garg (email:garg amit03@yahoo.co.in). the optical detector is employed to receive the multi-
2 ACCEPTED MANUSCRIPT Namita Kathpal, Amit Kumar Garg
wavelength signal from the fiber and convert it back effect and the proposed algorithm works efficiently
into the original RF signal. The extracted RF signal at low input power. The three-channel code (TCC)
is transmitted to the MU via BS antenna. WDM sys- [22] has been described to reduce the impact of FWM
tems are implemented in an optical link to increase the on DWDM system for various kinds of fiber. The
number of wavelengths transmitted through a single TCC eliminates the inband FWM term and provides an
fiber [7]. It is observed that the inelastic scattering and improvement in signal-to-crosstalk ratio (SXR) upto
variation in the refractive index of the fiber core with 4dB. Novel Optical Burst Switching (OBS) architec-
the optical intensity produces non-linear impairments ture [23] has been developed using just-enough-time
in RoF system [8]. These non-linear impairments are signalling protocol to reduce burst losses in fast op-
broadly classified into two categories; the impairments tical networks. Based on the literature survey, it is
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which are caused due to the interaction of the field in- concluded that FWM is very crucial effect in WDM
tensity with the fiber refractive index are Self-Phase systems as this degrade the system performance by in-
Modulation (SPM), Cross-Phase Modulation (XPM) ducing crosstalk. Moreover, in WDM systems, chan-
and Four-Wave Mixing (FWM) and the impairments neling with unequal spacing was proposed to reduce
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which are due to stimulated scattering mechanisms, the FWM effect.In the present work, analytical model-
are Brillouin (SBS) and Raman (SRS) [9]. These im- ing is described to calculate FWM crosstalk power for
pairments result in signal broadening [10], undesirable three channel system and also proposed a 32Gbps sim-
signal modulation, attenuation and thereby, limits the ulation model for 8-channel system to reduce FWM
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transmission capability of the long-haul system. These effect by employing Bessel Filter. Thus, it is con-
non-linearities are very crucial for the deployment of cluded that reduction in FWM can be achieved by re-
the RoF system as they produce accumulated effect ducing input source power, increasing number of input
for long distance. The non-linear effects are observed channels as well as channel spacing.
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to be less stringent for the single optical channel as
compared to the WDM system [11]. A statistical anal-
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2. Impact and Control of FWM non-linearity
ysis [12] has been described for reducing the power
level of crosstalk generated by FWM. An optimiza- It is observed that the fiber nonlinearities directly
tion technique based upon performance factors (chan- contribute to refractive index changes in relationship
nel spacing, channel power and fiber area) has been to input optical power variations which limits the high-
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proposed [7] to reduce the FWM effect for deploy- speed link performance. In WDM systems, FWM
ment of RoF system. Noise compression method [13] leads to inter-modulation distortion and the interfer-
which is based on the wavelength of the laser pump ence affecting a given channel is vigorously related to
and the injected signal has been described for isolat-
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RF Mach-Zehnder Photo RF
Data Filter Data
Modulator Modulator Diode Demodulator
Fiber
Laser
Diode
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Po will 0.00005, 0.05, 0.5 and 50 respectively
as shown in Figure 2(b). Thus, as the input power of
the channel is increase, the ratio will also increase but
by decreasing the input power, ratio will decrease ac-
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cording to Equation 3 which in turn leads to decrease
in SNR. Further sufficient power should be applied to
all the channels which will not deteriorate the system
performance.
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3. Simulation Setup of proposed (8/32 RoF-BF)
system
waves or products are seen to be generated when there the performance of long-distance communication as
is a large number of channels having uniform spacing MZM coupled higher optical output power into an
which further results into various detrimental effects
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duced by fiber distinctively FWM, optical fiber link CW Laser Power 20dBm to-10dBm
must incorporate Bessel filter into the design. Bessel CW Laser Frequency 193.1THz to 193.8THz
filter had been employed in design for features such Channel Spacing 25GHz to 100GHz
as maximally flat group delay, slow cut-off, overshoot CW Laser Line width 10MHz
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and most importantly it preserves the wave shape of
MZM Extinction Ratio 30dB
filtered signal in pass band which directly provides
SMF Parameters Value
best phase response. Bessel filter reduces the FWM
Length 100km
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sideband power by 4dBm discussed in the result. The
Attenuation 0.2dB/km
filtered optical signal is applied to the receiver. The
Dispersion 16.75ps/nm-km
receiver shown in Figure 4(b) consists of photo detec-
tor, filter and BER analyzer. The PIN photo detector Dispersion Slope 0.075
converts the incident optical signal into an electrical Effective Area 80µm2
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signal and this signal is filtered with the help of Low EDFA Parameters Value
Pass Bessel filter to remove the noise generated by the Gain 20dB
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link. The performance of the receiver is measured by Power 80dBm
BER analyzer in terms of Eye Diagram and Q-Factor. Noise Figure 2dB
The effect of nonlinearity in optical Fiber has been vi- DCF Parameters Value
sualized by three visualize components namely Opti- Length 20km
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Effective Area
4. Results & Discussions
Receiver Parameters Value
PIN Responsitivity 1A/W
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nel spacing (25GHz to 100GHz), increasing number Low Pass Bessel Filter 0dB
of input channels (2, 4 & 8) with a simultaneously re- Insertion Loss
duction in channel input power (20dBm to -10dBm) in Low Pass Bessel Filter Order 4
the proposed system the FWM effect can be reduced.
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Source
In order to observe the effect of channel spacing
in proposed RoF system, the following simulation pa- Channel Power Power Q- BER
rameters were considered: input power level (0dBm), Spacing received obtained Factor
fiber length (120km), dispersion (16.75ps/nm-km). At (GHz) without with
the output, the effect of increasing channel spacing is filter filter
shown in Table 2. Using results of Fig. 5-8 it is con- (dBm) (dBm)
templated that the FWM sideband power is reduced 25 25.72 25.37 43.17 0
by 2dBm, 3dBm, 4dBm and 5dBm respectively when 50 25.72 24.93 47.05 0
the spacing between the channels is increased from 75 25.72 24.40 53.15 0
25GHz to 100GHz with a step size of 25. The Bessel 100 25.72 23.86 46.83 0
filter employed in the proposed (8/32 RoF-BF) sys-
Tab. 2: Impact of Channel Frequency on mitigating FWM effect
tem to reduce the sideband power which is generated
due to fiber nonlinearity. Table 2 shows the optical
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Analysis of RoF system for mitigating FWM effect MANUSCRIPT 5
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Fig. 3: Setup of proposed (8/32 RoF-BF) system
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Tab. 3: Impact of Input Power Level on mitigating FWM effect
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spacing of channel is increased, power obtained at the
output of filter is also decreased but this power will 5. Conclusion
not reduce the SNR as SNR is computed by Q-Factor
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and Q-Factor is also increased but the optimum result In this paper, the feasibility of the proposed (8/32
is achieved at the channel spacing of 75GHz. RoF-BF) system has been tested and demonstrated.
The performance of the proposed (8/32 RoF-BF) sys-
4.2. Effect of transmitter power of Signal Source tem has been investigated as a function of channel
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spacing, power level and a number of channels. Based
The elemental requirement of a RoF system is to on the results, it has been observed that by increasing
transmit a signal of appropriate signal power to dis-
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the channel spacing as well as decreasing the power
tinguish it from the noise at the receiver. The per- level of the signal source; the FWM effect decreases.
formance of the RoF system is analyzed by Signal to The simulation results indicate that the impact of
Noise Ratio which is a measure of signal strength. The FWM effect is reduced by maintaining the channel
effects of FWM are governed by input power level,
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power level of the input sources has been varied from ther, it seems that the present work may contributes to
20dBm to -10dBm. Based on the result obtained in better understanding of non-linear effects in RoF sys-
Fig. 9-12, it is examined that as the input power level
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reduce the SNR as SNR is computed by Q-Factor. Q- assisted multiband rf transceiver for wireless communications,
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Fig. 5: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 25GHz Channel Spacing.
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Fig. 6: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 50GHz Channel Spacing.
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Fig. 7: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 75GHz Channel Spacing.
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Fig. 8: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 100GHz Channel Spacing.
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Fig. 9: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 20dBm Input Power.
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Fig. 10: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 10dBm Input Power.
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Fig. 11: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at 0dBm Input Power.
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Fig. 12: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram at -10dBm Input Power.
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Fig. 13: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram for 2 Channel System.
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Fig. 14: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram for 4 Channel System.
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Fig. 15: Optical Spectrum at the output of (a) EDFA, (b) Filter and (c) Eye Diagram for 8 Channel System.
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o All authors have participated in (a) conception and design, or analysis and
interpretation of the data; (b) drafting the article or revising it critically for
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important intellectual content; and (c) approval of the final version.
o This manuscript has not been submitted to, nor is under review at, another
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journal or other publishing venue.
o The authors have no affiliation with any organization with a direct or indirect
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financial interest in the subject matter discussed in the manuscript
Author’s name
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Namita Kathpal (Corresponding Author) Deenbandhu Chhotu Ram University
Amit Kumar Garg of Science & Technology, Murthal,
Sonepat, Haryana-India
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