Modal dispersion is well recognized as multimode fiber's primary limitation, leading to connection failures when transmitting huge volumes of data. Numerous central launch conditions have been employed to overcome this obstacle, which had a significant effect on a failure in the connection. These conditions solely induce the primary propagation mode. The potential of utilizing the different light channels in multimode fiber for data centers has not been effectively used. Nevertheless, these fiber modes have the potential to be advantageous for large data applications. At the donut level, beams facilitate the transmission of separate data streams, leading to a higher total bandwidth. The novelty of this work lies in the utilization of the donut beam to optimize computing performance at the infrastructure layer, which, in turn, improves data analytics at the middleware and application layers. By utilizing a central wavelength of 1550.12 nm, achieving a transmission rate of 14 gigabits per second is feasible across a maximum distance of 1200 meters.
📄 Full text (18,215 characters)extracted from the PDF · click to expand
979-8-3503-6491-0/24/$31.00 ©2024 IEEE
Coherence Big Data Space Division Multiplexing
Yousef Fazea
Department of Computer Sciences
and Electrical Engineering,
Marshall University, One John
Marshall Drive, Huntington, WV
25755, USA,
fazeaalnades@marshall.edu
Mustafa Muwafak Alobaedy
Faculty of Information
Technology, City University
Malaysia, 46100 Petaling Jaya,
Malaysia,
Mustafa.theab@city.edu.my
Mohamed Alsamman
School of Computing,
Universiti Utara Malaysia,
06010 Kedah, Malaysia,
alsamman@uum.edu.my
Fathey Mohammed
Sunway Business School,
Sunway University, 47500
Selangor, Malaysia,
fatheym@sunway.edu.my
Abstract— Modal dispersion is well recognized as multimode
fiber's primary limitation, leading to connection failures when
transmitting huge volumes of data. Numerous central launch
conditions have been employed to overcome this obstacle, which
had a significant effect on a failure in the connection. These
conditions solely induce the primary propagation mode. The
potential of utilizing the different light channels in multimode
fiber for data centers has not been effectively used. Nevertheless,
these fiber modes have the potential to be advantageous for
large data applications. At the donut level, beams facilitate the
transmission of separate data streams, leading to a higher total
bandwidth. The novelty of this work lies in the utilization of the
donut beam to optimize computing performance at the
infrastructure layer, which, in turn, improves data analytics at
the middleware and application layers. By utilizing a central
wavelength of 1550.12 nm, achieving a transmission rate of 14
gigabits per second is feasible across a maximum distance of
1200 meters.
Keywords—Donut Mode; Vortex lens; Multimode Fiber;
Optical Communication
I. INTRODUCTION
The proliferation of data centers is driven by the ongoing
advancement of multi-faceted computing applications. The
reason for this is the growing number of internet users and
the increasing adoption of cloud computing by businesses for
their data infrastructure[1, 2]. Researchers all around the
world have been encouraged to explore beyond current speed
to change architectures as a result of the continual growth of
server, network, and Internet traffic [3-6]. There have been a
great number of feasible ways that have been offered to
enhance the transmission capacity [7-9]. These approaches
include amplitude [10, 11], multiplexing in the polarization
[12, 13], wavelength [14-16], and time. Employing different
mode excitations such as LG [17], and helical-phase [18]. An
emerging technique that has attracted significant interest is
known as mode division multiplexing [19-21]. This approach
involves modes transmitting their own independent data
streams, which ultimately increases the total bandwidth. The
utilization of spatial light modulators [22, 23], fiber gratings
[24, 25], digital signal processing algorithms [26, 27], modal
decomposition algorithms [28], adaptive optics [20], and
photonic crystal fiber [29, 30] are some of the techniques that
have garnered a lot of attention in recent years. Mode division
multiplexing for big data in particular has garnered a lot of
attention.
In summary, the paper is structured as follows: The
subsequent section provides a more comprehensive
explanation of the MDM model, which pertains to the donut
modes observed in data centers. The paper's conclusion,
together with the results and discussion, is offered in Section
III and Section IV.
II. MODEL SIMULATION
Following the steps outlined in Figure 1, the MDM model
was built up and simulated using the Optsim 5.2 instrument.
It is possible to divide the modal into three distinct
components, which are the receiver, the multimode fiber, and
the transmitter. All that makes up the transmitter is a single
VCSEL operating at a wavelength of 1550.12 nm and being
driven by PRBS electrical signals. Modulation that does not
return to zero is utilized. According to the definition, the
electrical field of the donut mode is:
minmax
minmax
cos( )0
( , )sin( )0
0
Ll
rr r
rLl
rr r
φ
α
ψφφ
≥
≤ ≤
=<
< <
(1)
the normalization constant is denoted by α. The lowest radius
is denoted by r
min
, and the maximum radius is specified by
r
max
. Within these boundaries, the field is a sinusoidal
function of azimuth, where l represents the azimuthal index
and L= l|. Simply put, the spot modes are the donut mode
with r
min
=0. During the run duration, the values of
x_outer_radius=11um and x_inner_radius=10um were
maintained with a beam spot size of 25 microns. The VCSEL
is made up of a spatial component that functions as the
fundamental donut mode. This component is utilized to
govern the launch condition of the donut mode in multimode
fiber. The output of the VCSEL will be connected to a vortex
lens that is employed for the vortex launch condition. This
lens will apply a vortex transformation to the phase front and
focus the incoming signal. The launch of the vortex may be
controlled by using two parameters, which are the vocal
length, which is set to f=8.0mm for a given vortex order of
m=4. In the vortex mode, one may describe it as:
2
( , ) exp (
2
n r
t x yj
f
π
λ
=−
(2)
2
( , ) exp (
2
n r
t x yjm
f
π
θ
λ
=−+
(3)
222
atan( / )r x yandy xθ=+=
(4)
The variables x and y denote the horizontal and vertical
positions, respectively. The symbol λ indicates the length of
the signal wave, n represents the refractive index of the
material, and f denotes the distance from the lens to the focal
point. The parameter m represents the order of a vortex. By
using spatial analyzers, it becomes possible to graphically
represent both the magnitude and phase of the optical spatial
2024 International Symposium on Networks, Computers and Communications (ISNCC) | 979-8-3503-6491-0/24/$31.00 ©2024 IEEE | DOI: 10.1109/ISNCC62547.2024.10758969
Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on February 07,2025 at 23:08:04 UTC from IEEE Xplore. Restrictions apply.
electrical signal. Subsequently, the signal is conveyed as it
traverses through a multimode fiber. Both the power modal
coupling and the predicted attenuation values of 1.5 dB/km
have been considered. The signal generated by the multimode
fiber is examined using a photodetector. The majority of
multimode fiber lengths in a typical large data environment
are shorter than 500 meters [30]. To fulfill the length
requirement for huge data, the mode-division multiplexing
(MDM) model that was proposed was able to achieve a
distance that ranged from 200 meters to 1200 meters.
Following that, the signal is received using a photodetector to
be analyzed. To observe the eye diagram and determine the
bit-error-rate (BER) of each channel for a variety of
multimode fiber (MMF) lengths, the signal is evaluated with
a BER tester.
III. RESULT AND DISCUSSION
The transverse electric field of the donut mode is shown to
travel through a vortex lens in Figure 2. This allows the
magnitude and phase of the field to be determined. Figure
2(a) illustrates the input incident field of a donut mode with
x_outer_radius=11um and x_inner_radius=10um as it
travels through a vortex lens with a focal length of 8mm and
a vortex order of 4. The output of the special electric is
depicted in Figure 2(b), which demonstrates that better results
were obtained, and the number of peak intensities can be
distinguished.
The bit error rate (BER) of the VCSEL array at 1200 meters
is depicted in Figure 3, where the BER is equal to 1.83×10
-11
.
This is done to investigate the donut mode parameters
x_outer_radius and x_inner_radius parameters. When
compared to increasing the bit rate that is being
communicated, it is important to note that the bit error rate
(BER) decreases as the distance between the parties
increases.
Figure 4 illustrates the impacts of mode delay on the donut
mode, namely the outer radius and the inner radius. The xaxis that runs horizontally is referred to as the modal delay (s)
and is scaled by a factor of 10
-10
. The vertical y-axis denoted
power coupling coefficient. This figure measures how
effectively power is being and transmitted distributed in the
donut-MDM system. The majority of the data points have a
power coupling coefficient that is quite near zero, which
indicates that the coupling for those particular modal delays is
either low or nonexistent. In addition, there are a few
prominent outliers that have power coupling coefficients that
are significantly higher than average, which indicates that
there is a stronger coupling at those particular modal delays.
Figure 1. MDM-based donut mode model
(a)
(b)
Fig. 2: (a) Transverse spatial electric field for photodetector array at
λ=1550.12nm before the multimode fiber. (b) Transverse spatial electric
field for photodetector array at λ=1550.12nm after the multimode fiber
Fig. 3: Bit error rate at a distance of 1200 meters
Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on February 07,2025 at 23:08:04 UTC from IEEE Xplore. Restrictions apply.
A power coupling coefficient that is approximately 0.075 is
displayed by the peak in the data that is the most apparent, and
this value is much greater than the coefficients of the other
data points. The power is highly coupled into the mediumorder, which results in a short time delay difference between
modes, which ultimately leads to a tiny pulse width.
Fig. 5. Illustrate the Delay (sec/m) vs. Degenerate Mode
Group (DMG) for OpSig 1. As the red line, which represents
delay, exhibits substantial spikes at particular DMG values,
particularly in the vicinity of DMG 2 and DMG 6, this inferred
that these particular points have a significantly greater delay
per unit distance in comparison to other points. The green line,
on the other hand, shows an essentially linear increase with
DMG, which indicates that there is a direct association
between DMG and this metric at this point. A notable
deviation can be observed at DMG 6, where there is a drop
that is comparable to the spike that can be observed in the red
line. Donut x_outer radius and x_inner radius are shown in the
eye diagrams in Figure 6, which illustrate the effect of these
two parameters on an MMF that is 1200 meters in length. The
temporal difference between the propagated modes is
growing, and the eye-opening is getting significantly smaller.
IV. CONCLUSION
Using donut modes generated by VCSEL arrays at a
wavelength of 1550.12nm, this study presents the initial
numerical investigation of modal characteristics and BER
assessment for MDM system. The analysis was carried out
using MMF as the transmission medium. Through the MMF,
the experimental system was able to reach a data rate of 14
gigabits per second over a distance of 1200 meters, while
maintaining BER levels that were within acceptable ranges.
The robustness of the proposed method is suggested by the
fact that a detailed investigation of relative power
distributions and BER performance reveals that optimal
signal propagation occurs under these conditions.
REFERENCES
[1] L. A. Barroso and J. Clidaras, The datacenter as a
computer: An introduction to the design of
warehouse-scale machines. Springer Nature, 2022.
[2] L. a. Tawalbeh, S. Lakkineni, F. Muheidat, U. Bulut,
and A. A. Abd El-latif, "Big Data Analytics for
Secure Edge-Based Manufacturing Internet of
Things (MIoT)," in Secure Edge and Fog
Computing Enabled AI for IoT and Smart Cities:
Includes selected Papers from International
Conference on Advanced Computing & Next-
Generation Communication (ICACNGC 2022),
2024: Springer, pp. 135-153.
[3] M. Rashmi, D. Girija, and N. Yogeesh, "Exascale
Computing: The Next Frontier of High-Performance
Computing," Human Cancer Diagnosis and
Detection Using Exascale Computing, vol. 279, p.
279, 2024.
[4] T. Kumar et al., "Cloud‐based video streaming
services: Trends, challenges, and opportunities,"
CAAI Transactions on Intelligence Technology,
2024.
[5] O. Dakkak, Y. Fazea, S. A. Nor, and S. Arif,
"Towards accommodating deadline driven jobs on
high performance computing platforms in grid
computing environment," Journal of Computational
Science, vol. 54, p. 101439, 2021.
[6] M. Madi, F. Jarghon, Y. Fazea, O. Almomani, and
A. Saaidah, "Comparative analysis of classification
techniques for network fault management," Turkish
Journal of Electrical Engineering and Computer
Sciences, vol. 28, no. 3, pp. 1442-1457, 2020.
[7] M. Kumari and V. Arya, "Four Laguerre–Gaussian
mode-division multiplexed incorporated hybrid
XG-PON and FSO Gamma Gamma fading system
under severe weather conditions," Optical and
Quantum Electronics, vol. 56, no. 1, p. 113, 2024.
Fig. 4: The effects of modal delay
Fig. 5: Relative group delay at different launch offset.
Fig. 6: Eye diagram at a length of 1200 meters
Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on February 07,2025 at 23:08:04 UTC from IEEE Xplore. Restrictions apply.
[8] Y. Liu, B. Wang, F. Zhang, and B. Guan, "Highpower and high-quality Gaussian beam in VCSEL
via anisotropic modes control," Optics & Laser
Technology, vol. 170, p. 110163, 2024.
[9] Z. T. Ibraheem, K. K. Ahmed, Y. Fazea, M. Madi,
F. Mohammed, and A. Q. Ali, "Boosted PTS method
with Mu-Law companding techniques for PAPR
reduction in OFDM systems," Wireless Personal
Communications, vol. 124, no. 1, pp. 423-436, 2022.
[10] M. A. Mosleh, F. Héliot, and R. Tafazolli, "Ergodic
Capacity Analysis of Reconfigurable Intelligent
Surface Assisted MIMO Systems With a Practical
Phase Shift and Amplitude Response," IEEE
Transactions on Vehicular Technology, 2024.
[11] T. Peng et al., "A novel robustness matching method
based on amplitude-frequency characteristic for
high power ultrasonic system under variable load,"
Applied Acoustics, vol. 217, p. 109799, 2024.
[12] X. Fu, J. Niu, Y. Huo, S. Yang, and L. Yang,
"Polarization-independent reconfigurable WDM-
MDM hybrid multiplexer on silicon photonics
platform," IEEE Photonics Technology Letters, vol.
35, no. 8, pp. 438-441, 2023.
[13] Y. Huo, J. Niu, X. Fu, S. Liu, C. Cheng, and L.
Yang, "Active polarization controller based on
micro-ring resonators," Optics Letters, vol. 48, no.
21, pp. 5491-5494, 2023.
[14] Y. Fazea, A. Amphawan, Y. Al-Gumaei, A. M. Al-
Samman, and W. M. Al-Rahmi, "Modes power
equalization based-singular value decomposition in
mode division multiplexing systems for multihungry bandwidth applications," Optical Fiber
Technology, vol. 61, p. 102389, 2021.
[15] Y. Fazea, A. Amphawan, and H. Abualrejal,
"Wavelength division multiplexing-mode division
multiplexing for MMF in access networks,"
Advanced Science Letters, vol. 23, no. 6, pp. 5448-
5451, 2017.
[16] Y. Fazea, "Mode division multiplexing and dense
WDM-PON for Fiber-to-the-Home," Optik, vol.
183, pp. 994-998, 2019.
[17] Y. Fazea and A. Amphawan, "Mode division
multiplexing of helical-phased LG modes in
multimode fiber with electronic dispersion
compensation," Advanced Science Letters, vol. 23,
no. 1, pp. 29-34, 2017.
[18] Y. Fazea, "Numerical simulation of helical structure
mode-division multiplexing with nonconcentric ring
vortices," Optics Communications, vol. 437, pp.
303-311, 2019.
[19] Y. Fazea and V. Mezhuyev, "Selective mode
excitation techniques for mode-division
multiplexing: A critical review," Optical Fiber
Technology, vol. 45, pp. 280-288, 2018.
[20] F. Wang et al., "OAM mode-division multiplexing
IM/DD transmission at 4.32 Tbit/s with a lowcomplexity adaptive-network-based fuzzy inference
system nonlinear equalizer," Optics Letters, vol. 49,
no. 3, pp. 430-433, 2024.
[21] A. E. Willner et al., "Free-space mid-IR
communications using wavelength and mode
division multiplexing," Optics Communications,
vol. 541, p. 129518, 2023.
[22] D. Benton, Y. Li, A. Billaud, and A. Ellis, "Spatial
Mode Division Multiplexing of Free-Space Optical
Communications Using a Pair of Multiplane Light
Converters and a Micromirror Array for Turbulence
Emulation," in Photonics, 2024, vol. 11, no. 3:
MDPI, p. 241.
[23] M. Baliyan, A. Shikder, and N. K. Nishchal,
"Generation of structured light beams by dual phase
modulation with a single spatial light modulator,"
Physica Scripta, vol. 98, no. 10, p. 105528, 2023.
[24] Q. Sun, H. Chen, J. Wang, J. Yang, and H. Jia,
"Broadband mode-division (de) multiplexer using
nanorod-assisted multimode subwavelength
gratings," Optics Communications, vol. 552, p.
130037, 2024.
[25] C. Jayanth, S. E. Peter, B. Santhosh, and V.
Nandhini, "Design of multiparameter fiber Bragg
grating in optical transmission systems wavelength
division multiplexing," Journal of Optics, pp. 1-9,
2024.
[26] Y. Gao, J. Cui, X. Zhou, Z. Chen, and J. Li, "All-
Fiber Low-Modal-Crosstalk Demultiplexers for
DSP-Free IM/DD LP-Mode MDM Transmission,"
in Photonics, 2024, vol. 11, no. 3: MDPI, p. 271.
[27] H. Zhou et al., "Turbulence mitigation of four modedivision-multiplexed QPSK channels in a pilotassisted self-coherent free-space optical link using a
photodetector array and DSP-based channel
demultiplexing," Optics Letters, vol. 49, no. 5, pp.
1209-1212, 2024.
[28] J. Li, R. Zhang, F. Wen, F. Yang, B. Wu, and K.
Qiu, "Optical Vector-Eigenmode Decomposition
Through Deep Learning Networks," Available at
SSRN 4726119.
[29] Z. Hui, Z. Li, D. Han, and T. Li, "A Novel Mode-
Division Multiplexer/Demultiplexer with Ultra-
Large Bandwidth and Ultra-Low Insertion Loss
Based on Five-Core Photonic Crystal Fiber," 2024.
[30] L. He et al., "Wavelength division multiplexing
based on the coupling effect of helical edge states in
two-dimensional dielectric photonic crystals,"
Optics Express, vol. 32, no. 7, pp. 11259-11270,
2024.
Authorized licensed use limited to: UNIVERSITY TEKNOLOGI MALAYSIA. Downloaded on February 07,2025 at 23:08:04 UTC from IEEE Xplore. Restrictions apply.
Automatically extracted. Refer to the original PDF for figures, tables, and formatting.