Performance analysis and evaluation of Wired communication antenna & directivity
1. Performance Analysis and Evaluation of Underwater Optical
Wireless Communications Links
Presented by:
(ECE DEPARTMENT)
Supervisor(s):
2. Scholar Name 2
Introduction
• Overview of Underwater Optical wireless Communication
Last few years has seen a tremendous growth in the use of smart phones and other
multimedia applications like video conferencing, video calling, live streaming etc
which require very high data rates. so OWC technology is used.
Reson: RF networks require immense capital investments to acquire spectrum
license.
This can be achieved using fibre optic cables or copper cables but they pose
engineering and maintenance problem.
Solution: optical signals are used
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3. Scholar Name 3
Introduction
OWC technology applications
1. Inter-satellite communication
2. Indoor visible light communication
3. Terrestrial optical communication
4. UNDERWATER WIRELESS COMMUNICATION
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4. Scholar Name 4
Introduction
underwater wireless communication has seen huge growth and
advancements in recent years
important technology for information exchange among underwater devices
Finds application in the field of military, maritime study, pollution
monitoring, oil exploration, climate change monitoring, ocean studies and
research
Unmanned vehicles and devices are stationed underwater which require
huge bandwidth and high channel capacity
Three types: Underwater Acoustic Wireless Communication (UAWC),
Underwater Radio Frequency Wireless Communication (URWC), and
Underwater optical wireless communication (UOWC).
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5. Scholar Name 5
Introduction
Underwater Acoustic Wireless Communication (UAWC):
makes use of acoustic waves as data carrier, low attenuation and long
distance transmission upto 10Kms but limited bandwidth, more latency
Underwater Radio Frequency Wireless Communication
(URWC): supports the data rates in the range of Mbps and transmission
distance up to 10 m but transmitter and receiver setup is huge and complex.
Underwater optical wireless communication (UOWC): high data
rates (in Gbps), immunity to electromagnetic interference, wider bandwidth
availability, no spectrum licensing, secure transmission and low power
consumption. Drawbacks absorption and scattering.
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6. Scholar Name 6
Features Acoustic EM Optical
Primary Carrier Acoustic/Sound signals EM/RF waves EM waves in visible
spectrum(400nm-700nm)
Speed ≈1500m/s ≈2.255x10⁸ ≈2.255x10⁸
Frequency Band 8-15KHz VLF-3 kHz to 30 kHz
ELF- 30Hz-300Hz
25-20KHz
Data Rates 10kbps - Long
100kbps - Short
few centimetres to a few
meters - short range
10-100Mbps
Transmission Power Tens of Watts Few milliwatts to
hundreds of Watts
Few Watts
Performance Parameters Temperature, salt content,
density
Conductivity, Permittivity Absorption, Scattering,
organic matter
Attenuation Low High Very Low (within range
400nm-700nm)
Absorption less High Moderate (Blue-Green
Region)
Scattering Moderate-Low High High
Effect of Temperature Highly effected unaffected No direct effect
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Comparison of different parameters for Acoustic, EM and Optical
underwater communication
7. Scholar Name 7
Introduction
• Factors affecting performance of UOWC Transmission
The performance of UOWC transmission is influenced by various
factors, including:
• Water Attenuation: Water absorbs and scatters light, leading to
signal attenuation. Longer wavelengths are absorbed more than
shorter ones, impacting the overall transmission range and data rate.
• Turbidity: Suspended particles and dissolved substances in water
cause scattering and absorption of light, reducing the visibility and
range of optical signals. Turbidity can be influenced by factors such
as sedimentation, algae, and pollutants.
• Propagation Loss: The transmission distance is affected by the
scattering and absorption of light in water. This loss increases with
distance and is influenced by water clarity, depth, and the presence
of obstacles.
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8. Scholar Name 8
• Signal Scattering: Light is scattered in different directions by
particles and irregularities in the water. Multiple scattering
events can cause signal distortion and reduce the signal-to-
noise ratio.
• Channel Fading: Variations in water conditions, such as
currents and temperature gradients, can lead to rapid
fluctuations in the optical channel, causing fading and
impacting the reliability of communication.
• Depth: The depth of the water body affects the transmission
range and the available light for communication. Deeper
waters generally result in greater attenuation and reduced
signal strength.
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9. Scholar Name 9
• Wavelength of Light: Different wavelengths are absorbed to varying extents in water.
Selecting an appropriate wavelength for communication can minimize absorption
losses and improve the overall performance.
• Modulation Technique: The choice of modulation scheme affects the system's
sensitivity to noise and its ability to recover the transmitted data accurately. Adaptive
modulation techniques may be employed to optimize performance under varying
conditions.
• Environmental Conditions: External factors such as temperature, pressure, and salinity
can affect the performance and reliability of optical communication systems.
Specialized designs and materials may be needed to withstand harsh underwater
conditions.
• Noise and Interference: Natural and anthropogenic sources of noise, such as marine
life, acoustic signals, and other underwater activities, can introduce interference,
affecting the quality of the optical communication link.
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10. Scholar Name 10
Literature Review
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1. W Lyu et al. “Experimental demonstration of an underwater wireless optical
communication employing spread spectrum technology” Opt Express. 28(7), pp.
10027-10038, March 2020. For spread spectrum schemes the achieved data rates are
upto 700Mbps for transmission distance of 42m. Temporal dispersion limits the
distance
2. M. Salim et al. “Underwater optical wireless communication system performance
improvement using convolutional neural networks.” In AIP Advances 1 April 2023; 13
(4): 045302. In this work 10Mbps of power is transmitted over a distance of 3m
with 26dBm transmission power. Requires a balance between channel
computational processing and model accuracy. Also system is complex
3. M. Zhang, “Real-Time Underwater Wireless Optical Communication System Based
on LEDs and Estimation of Maximum Communication Distance” in Sensors 2023,
23, 7649. Data rate upto 135Mbps, BER of 5.9 x 10 at a distance of 10m
⁻
achieved. Limited transmission distance is a problem for estimating the maximum
communication distance experimentally.
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Literature Review
Department Name
4. X. Hong et al., "Experimental Demonstration of 55-m / 2-Gbps Underwater
Wireless Optical Communication Using SiPM Diversity Reception and Nonlinear
Decision-Feedback Equalizer," in IEEE Access, vol. 10, pp. 47814-47823, 2022.
The researcher reported 55m/1Gbps and 2Gbps underwater transmission link
with receiver sensitivity around -49.23dBm and 41.96dBm which as low as
possible. The experimental setup had limited length of water tank.
5. J. Zhang et al., "Long-Term and Real-Time High-Speed Underwater Wireless
Optical Communications in Deep Sea," in IEEE Communications Magazine, vol.
62, no. 3, pp. 96-101, March 2024. The researchers in their work, realized UWOC
links with two-way ethernet along a range of 30m using 125Mbps green colour
light transmission link and 6.25 Mbps blue colour light transmission link.
Practical achievement of the work under sea water is still challenging.
6. Y. Ren et al. Simulation analysis of underwater wireless optical communication
based on Monte Carlo method and experimental research in complex hydrological
environment. AIP Advances 1 May 2023; 13 (5): 055226. The system reported data
rates 5-20Mbps over 35m underwater communication link. Due to turbidity of
sea water the reduction of scattering and absorption is still challenging.
12. Scholar Name 12
Literature Review
7. S. Tang, Y. Dong and X. Zhang, "Impulse Response Modeling for Underwater
Wireless Optical Communication Links," in IEEE Transactions on Communications,
vol. 62, no. 1, pp. 226-234, January 2014. The results of the work shown that 3dB
bandwidth of the channel decreases for larger attenuation lengths as optical signal
undergoes temporal broadening or spreading.
8. H M Oubei et al 2.3 Gbit/s underwater wireless optical communications using directly
modulated 520 nm laser diode. Opt Express. 2015 Aug 10;23(16):20743-8. The
transmission rate of 2.3Gbps was achieved over 7m distance. Multiple scattering
causes ISI.
9. Cai R, Zhang M, Dai D, Shi Y, Gao S. Analysis of the Underwater Wireless Optical
Communication Channel Based on a Comprehensive Multiparameter Model. Applied
Sciences. 2021; 11(13):6051. The researchers evaluated the effect of absorption,
scattering and turbulence phenomenon underwater simultaneously. With the
increase in the transmission distance, the fluctuation of light along with
attenuation also increases.
10. H M Oubei et al. 4.8 Gbit/s 16-QAM-OFDM transmission based on compact 450-nm
laser for underwater wireless optical communication. Opt Express. 2015 Sep
7;23(18):23302-9. Data rate of up to 4.8Gbps were achieved over 5.4m transmission
distance. Scattering causes poor pointing accuracy.
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13. Scholar Name 13
Gap in existing Literature
Due to turbidity in seawater, reducing scattering and
absorption of optical signals is still challenging.
Multiple Scattering results in Inter symbol Interference
Scattering results in poor transmitter and receiver pointing
accuracy
APD sensitivity is limited by thermal noise
Experimental setups have limited length
Practical achievement of long-distance transmission in real
undersea environment is still challenging
Department Name
14. Scholar Name 14
Research Objectives
• Considering the abovesaid research gaps studied from the literature following
objectives have been proposed to work upon these areas
1. To study the limiting factors affecting the performance of laser beam propagation in
underwater wireless environment.
2. To design and evaluate the performance of UOWC transmission link using different
modulation techniques.
3. To propose a high-speed and secure UOWC transmission link using advanced
multiplexing and coding schemes.
Department Name
16. Scholar Name 16
References
Department Name
1. H. Kaushal and G. Kaddoum, "Optical Communication in Space: Challenges and
Mitigation Techniques," in IEEE Communications Surveys & Tutorials, vol. 19, no.
1, pp. 57-96. 2017
2. H. Kaushal and G. Kaddoum, "Underwater Optical Wireless Communication,"
in IEEE Access, vol. 4, pp. 1518-1547, 2016,
3. L K. Gkoura, G. D. Roumelas et.al. “Underwater Optical Wireless Communication
Systems: A Concise Review” 2017
4. J.M. Hovem, “Underwater acoustics: Propagation, devices and systems” in Journal
of Electroceramics, vol. 19, pp. 339–347, 2007.
5. L. Liu, Z. Shengli et.al. “Prospects and problems of wireless communication for
underwater sensor networks”, in Wireless Communications and Mobile Computing,
Vol. 8, No. 8, pp. 977–994, 2008
17. References
6. L.K. Gkoura, H.E. Nistazakis, et.al., “Underwater optical wireless communications
possibilities disadvantages and possible solutions” in 6th International Conference from
Scientific Computing to Computational Engineering IC-SCCE, 9–12 July Athens 2014.
7. A. Quazi and W. Konrad, "Underwater acoustic communications," in IEEE
Communications Magazine, vol. 20, no. 2, pp. 24-30, March 1982
8. B. R. A Arockia et al, "A Review–Unguided Optical Communications: Developments,
Technology Evolution, and Challenges," in Electronics, vol. 12, (8), pp. 1922, 2023.
9. C. Pelekanakis, M. Stojanovic, and L. Freitag, "High-rate acoustic link for underwater
video transmission," OCEANS 2003. Proceedings, San Diego, CA, USA, vol. 2, pp.
1091-1097, Sept. 22-26, 2003.
10. H. Hameed, Bashar et al. “Optical Wireless Communication Networks Under the Sea:
Review paper” in IAETSD JOURNAL FOR ADVANCED RESEARCH IN APPLIED
SCIENCES. Volume 9, Issue 2, February 2022
18. Scholar Name 18
References
Department Name
11. W Lyu et al. “Experimental demonstration of an underwater wireless optical
communication employing spread spectrum technology” Opt Express. 28(7), pp. 10027-
10038, March 2020.
12. M. Salim et al. “Underwater optical wireless communication system performance
improvement using convolutional neural networks.” In AIP Advances 1 April 2023; 13
(4): 045302.
13. M. Zhang, “Real-Time Underwater Wireless Optical Communication System Based on
LEDs and Estimation of Maximum Communication Distance” in Sensors 2023, 23, 7649
14. X. Hong et al., "Experimental Demonstration of 55-m / 2-Gbps Underwater Wireless
Optical Communication Using SiPM Diversity Reception and Nonlinear Decision-
Feedback Equalizer," in IEEE Access, vol. 10, pp. 47814-47823, 2022
15. J. Zhang et al., "Long-Term and Real-Time High-Speed Underwater Wireless Optical
Communications in Deep Sea," in IEEE Communications Magazine, vol. 62, no. 3, pp.
96-101, March 2024
19. References
16. Y. Ren et al. Simulation analysis of underwater wireless optical communication based on
Monte Carlo method and experimental research in complex hydrological environment.
AIP Advances 1 May 2023; 13 (5): 055226.
17. S. Tang, Y. Dong and X. Zhang, "Impulse Response Modeling for Underwater Wireless
Optical Communication Links," in IEEE Transactions on Communications, vol. 62, no.
1, pp. 226-234, January 2014
18. H M Oubei et al 2.3 Gbit/s underwater wireless optical communications using directly
modulated 520 nm laser diode. Opt Express. 2015 Aug 10;23(16):20743-8.
19. Cai R, Zhang M, Dai D, Shi Y, Gao S. Analysis of the Underwater Wireless Optical
Communication Channel Based on a Comprehensive Multiparameter Model. Applied
Sciences. 2021; 11(13):6051.
20. H M Oubei et al. 4.8 Gbit/s 16-QAM-OFDM transmission based on compact 450-nm
laser for underwater wireless optical communication. Opt Express. 2015 Sep
7;23(18):23302-9.