The chaotic signals can be generated within the microring resonator (MRR) system when the Gaussian pulse with input power of 120 mW is inserted into the system. Generation of chaotic signals respect to the ring's radius has been studied. The coupling coefficient affects the output power significantly, thus in order to generate signals with higher output power, the smaller coupling coefficient can be used. Here the output power of the system is characterized with respect to the different coupling coefficients of the system.A series of MRRs connected to an add/drop filter system in order to anaylize the soliton signals. The nonlinear refractive index of the MRR is n2=2.2 x 10-17 m2/W. The capacity of the output signals can be increased through generation of peaks with smaller full width at half maximum (FWHM). Here, we generate and characterize the ultra-short optical soliton pulses respect to the ring's radius and coupling coefficients variation of the system. As result, soliton pulses with FWHM and free spectral range (FSR) of 50 pm and 1440 pm are generated.
2. Integrated ring resonator system analysis to Optimize the soliton transmission
Amiri et al. 002
nanoscale-sensing transducers based on the add/drop ring resonator was presented by Amiri et al(I. S. Amiri et al.,
2014).
They have shown that the multi-soliton can be generated and controlled within a modified add/drop ring
resonator.Optical solitons are localized as electromagnetic waves that propagate in nonlinear media resulting from a
balance between nonlinearity and linear broadening due to dispersion and/or diffraction. There are five types of
nonlinear media which such as Kerr law, power law, parabolic law, dual-power law and the log law. In the presence
of dispersive perturbation terms, the phenomena of optical soliton cooling are also observed. Initially soliton refer to
the particle-like nature of solitary waves that remain intact even after common collisions.
The MRR performance can be described by several parameters namely free spectral range (FSR), full width
half maximum (FWHM) and the finesse (FSR/FWHM). The high performance, low loss, high speed, low cost and
simplicity both in fabrication and setup are needed in communication systems. Optical channel filters with low
insertion loss, wide FSR (high selectivity) and high stop band rejection are required in such a system like dense
wavelength multiplexing (DWDM).Many theoretical and experimental designs have been proposed to optimize the
filter response and other properties using various coupling coefficients and radii.
THEORY OF THE RESEARCH
The system of the MRRs is shown in Figure 1.
Figure 1. A schematic of the proposed MRR's system, where Rs: ring radii,κs: coupling coefficients, Rd: an
add/drop ring radius, Aeffs: effective areas
The input optical fields ( ) in E in the form of Gaussian beam can be expressed by
i t
L
z
E z t E
D
in 0 0 2
( , ) exp (1)
Here 0 E and z are the optical field amplitude and propagation distance, respectively. The dispersion length of
the soliton pulse can be defined as 2
2
0 L T D , where 0 T is the propagation time, the frequency carrier of the
soliton is 0 2 are the coefficients of the second order terms of the Taylor expansion of the propagation constant
(S. E. Alavi et al., 2014). The intensity of soliton peak is | / | 2
2 0 T , where o T is representing the initial soliton pulse
propagation time. A balance should be achieved between the dispersion length ( ) D L and the nonlinear length
( 1/ ) NL NL L , where 2 0 n k , is the length scale over which disperse or nonlinear effects causes the beam
becomes wider or narrower.Here, D NL L L . The total index (n) of the system is given by(I. S. Amiri et al., 2013).
( ) , 2
0 2 0 P
A
n
n n n I n
eff
(2)
3. Integrated ring resonator system analysis to Optimize the soliton transmission
Int. Res.J. Nanosci. Nanotechnol. 003
Where 0 n and 2 n are the linear and nonlinear refractive indices respectively. I and P are the optical intensity and
optical power, respectively. eff A represents the effective mode core area of the device, where in the case of MRRs,
the effective mode core areas range from 0.50 to 0.1 m2. The normalized output of the light field is defined as.
)
2
(1 1 1 ) 4 1 1 sin (
(1 (1 ) )
| (1 ) 1
( )
( )
|
2 2
2
2
x x
x
E t
E t
in
out
(3)
Here, is the coupling coefficient, x expL/ 2 represents a round-trip loss coefficient, NL 0 , 0 0 kLn
and
2
NL 2 in kLn E are the linear and nonlinear phase shifts and k 2 / is the wave propagation number and
is the fractional coupler intensity loss. Here L and are the waveguide length and linear absorption coefficient,
respectively. The input power insert into the input port of the add/drop filter system. th E and drop E represent the optical
electric fields of the through and drop ports, respectively expressed by equations (4) and (5),
n d
L
L
L
n d
L
t out
e e k L
e k L e
E E
d
d
d
d
1 1 1 2 1 1 cos
1 2 1 1 cos 1
/
2
41 42 41 42
42
2
2 41 41 42
3
2
(4)
n d
L
L
L
d out
e e k L
e
E E
d
d
d
1 1 1 2 1 1 cos
/
2
41 42 41 42
2
2 41 42
3
2
(5)
Where 2
t E and 2
d E are the output intensities of the through and drop ports respectively..
RESULTS AND DISCUSSION:
For the first single ring resonator, the parameters were fixed to λ0=1.55 μm, n0=3.34, Aeff=30 μm2, α=0.01 dB mm−1,
and γ=0.1. The length of the ring has been selected to L=60 μm, where the coupling coefficient is fixed to 0.0225
and the linear phase shift has been kept to zero. The total round-trip of the input pulse inside the ring system was
20,000. The ring resonator is considered as a passive filter system which can be used to generate signals in the
form of chaos, applied in optical communication with regards to suitable parameter of the system. Figure 2 shows
that bifurcation and chaotic behavior of the single ring resonator system, where the Gaussian beam with input power
of 120 mW is used.
Figure 2. Bifurcation and chaos in single ring resonator with L=60 μm, where (a): Output intensity
(mW/μm2) versus round-trip, (b): Output intensity (mW/μm2)
versus input power (mW)
4. Integrated ring resonator system analysis to Optimize the soliton transmission
Amiri et al. 004
Beside the ring resonator' radius parameter, the coupling coefficient of the single ring resonator also is considered to
be an effective parameter to determine the output intensity power of the system. In order to characterize the ring
resonator system based on the coupling coefficient, the circumference of the ring has been selected to L=40 μm to
avoid the chaotic signals. Therefore, chaotic signals are neglected. Figure 3 shows the dependence of the output
power of the ring resonator system on the coupling coefficient.
Figure 3. The output power of the ring resonator versus round-trip respect to different coupling coefficients
used
Therefore, output power of the system decreases with increase the coupling coefficient as shown in Figure 3. In
order to optimize the system, the smaller coupling coefficient is recommended.
In Figure 4(a), the input Gaussian beam has 50 ns pulse width and peak power of 2W. The ring radii are R1=15μm,
R2=9μm, R3=7μm, Rd=80μm and 0.96 1 , 0.94 2 , 0.92 3 , 0.1 4 5 .The fixed parameters are selected to
0=1.55m, n0=3.34 (InGaAsP/InP), Aeff=0.50, 0.25 and 0.10m2, =0.5dBmm-1, =0.1. The nonlinear refractive
index is n2=2.2 x 10-17 m2/W. Optical signals are sliced into smaller signals broadening over the band as shown in
Figures 4(b-d). Therefore, large bandwidth signal is formed within the first ring device, where compress bandwidth
with smaller group velocity is attained inside the ring R2 andR3, such as filtering signals. Localized soliton pulses are
formed within the add/drop filter system, where resonant condition is performed, given in Figures 4(e-h). However,
there are two types of dark and bright soliton pulses. Here the multi brightsoliton pulses with FSR and FHWM of
1440 pm, and 50 pm are simulated.
Figure 4."Results of the multi-soliton pulse generation, (a): input Gaussian beam, (b-d): large
bandwidth signals, (e-f): bright soliton with FSR of 1440 pm, and FWHM of 50 pm, (g-h): dark soliton
with FSR of 1440 pm, and FWHM of 50 pm"
5. Integrated ring resonator system analysis to Optimize the soliton transmission
Int. Res.J. Nanosci. Nanotechnol. 005 The variation of the FWHM versus the coupling coefficients (κ1) and (κ2) is shown in Figure 5. Thus increasing the coupling coefficients leads to increase the FWHM. The variation of the FWHM versus the coupling coefficients (κ3) and radius of the third ring resonator is shown in Figure 6. Here, the same concept is valid, thus increasing the variable parameters such as the ring radius and coupling coefficient of the three rings connected to the add/drop filter system causes the FWHM increased.To maximize the efficiency of the MRRs, the resonator bandwidth should be selected properly. This still allows for selection between a small, high-finesse resonator or a larger and proportionally lower-finesse resonator.
Figure 5. Simulation of FWHM, where (a): coupling coefficient (κ1) of the first ring varies, (b): coupling coefficient (κ2) of the second ring varies.
Figure 6. Simulation of FWHM, where (a): radius of the third ring varies, (b): coupling coefficient of the third ring varies Therefore, the low finesse is a benefit for an optical transmitter system in which the system experiences uniform transmission along the fiber optics, where the higher finesse shows better performance (sensitivity) of this system. The variation of the FWHM and FSR versus the ring's radius of the add/drop system is shown in Figure 7.
6. Integrated ring resonator system analysis to Optimize the soliton transmission
Amiri et al. 006
Figure 7. FWHM and FSR, where (a): Add/Drop's radius (R) versus FWHM, (b): Add/Drop's radius (R) versus FSR Using this method, the output power of the system can be simulated successfully. This system act as a passive filter system which can be used to split the input power and generate chaotic signals using suitable parameters of the system. Therefore input power of Gaussian beam can be sliced to smaller peaks as chaotic signals. The chaotic signals have many applications in optical communications. CONCLUSION The dependence of the chaotic signals on the radius of the ring resonator has been investigated. The output power of the system depends on the coupling coefficient, where higher coupling coefficient leads to generate pulses with lower output power, thus the system can be improved using smaller coupling coefficient. The series of MRRs are connected to an add/drop filter system to generate ultra-short soliton pulses. The soliton pulseswere generated using the proposed system, where ultra-short soliton pulse with FWHM of 50pmare obtained and analyzedregarding the variable parameter such as the radius and coupling coefficient of the rings.Optical channel filters with wide FSR (high selectivity) are required in such a system like DWDM in optical communication, where, the low finesse is a benefit for an optical transmitter system in which the system experiences uniform transmission along the fiber optics. ACKNOWLEDGEMENTS I. S. Amiri would like to acknowledge the financial support from University Malaya/MOHE under grant number UM.C/625/1/HIR/MOHE/SCI/29. REFERENCES De Vos K, Bartolozzi I, Schacht E, Bienstman P, Baets R (2007). Silicon-on-Insulator microring resonator for sensitive and label-free biosensing. Optics express 15(12): 7610-7615. Dorfmüller J, Vogelgesang R, Weitz RT, Rockstuhl C, Etrich C, Pertsch T, Lederer F, Kern K (2009). Fabry-Pérot resonances in one-dimensional plasmonic nanostructures. Nano letters 9(6): 2372-2377. Guarino A, Poberaj G, Rezzonico D, Degl'Innocenti D, Günter P (2007). Electro–optically tunable microring resonators in lithium niobate. Nature Photonics 1(7): 407-410. Amiri IS, Alavi SE, Idrus SM, Supa'at ASM, Ali J, Yupapin PP (2014). W-Band OFDM Transmission for Radio-over- Fiber link Using Solitonic Millimeter Wave Generated by MRR. IEEE Journal of Quantum Electronics 50(8): 622 - 628. Amiri IS, Alavi SE, SM Idrus, Nikoukar A, Ali J (2013). IEEE 802.15.3c WPAN Standard Using Millimeter Optical Soliton Pulse Generated By a Panda Ring Resonator. IEEE Photonics Journal 5(5): 7901912. Melloni, A. and M. Martinelli (2002). Synthesis of direct-coupled-resonators bandpass filters for WDM systems. Journal of Lightwave Technology 20(2): 296.