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Journal articles on the topic 'Underwater wireless optical communication'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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1

Cossu, Giulio. "Recent achievements on underwater optical wireless communication [Invited]." Chinese Optics Letters 17, no. 10 (2019): 100009. http://dx.doi.org/10.3788/col201917.100009.

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2

Kaushal, Hemani, and Georges Kaddoum. "Underwater Optical Wireless Communication." IEEE Access 4 (2016): 1518–47. http://dx.doi.org/10.1109/access.2016.2552538.

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3

Xu, Jing, Boon S. Ooi, and Gong-Ru Lin. "Editorial for Special Issue on Underwater Wireless Optical Communication." Chinese Optics Letters 17, no. 10 (2019): 100001. http://dx.doi.org/10.3788/col201917.100001.

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4

Xu, Jing. "Underwater wireless optical communication: why, what, and how? [Invited]." Chinese Optics Letters 17, no. 10 (2019): 100007. http://dx.doi.org/10.3788/col201917.100007.

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5

Arnon, Shlomi. "Underwater optical wireless communication network." Optical Engineering 49, no. 1 (January 1, 2010): 015001. http://dx.doi.org/10.1117/1.3280288.

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6

Chen Chen, Chen Chen, Xiaohui Zhang Xiaohui Zhang, and Jionghui Rao Jionghui Rao. "Optical design for an LED-based handheld underwater wireless optical communication system." Chinese Optics Letters 13, no. 2 (2015): 020801–20804. http://dx.doi.org/10.3788/col201513.020801.

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7

Chen, Daomin, Jiemei Wang, Shangbin Li, and Zhengyuan Xu. "Effects of air bubbles on underwater optical wireless communication [Invited]." Chinese Optics Letters 17, no. 10 (2019): 100008. http://dx.doi.org/10.3788/col201917.100008.

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8

Schirripa Spagnolo, Giuseppe, Lorenzo Cozzella, and Fabio Leccese. "Underwater Optical Wireless Communications: Overview." Sensors 20, no. 8 (April 16, 2020): 2261. http://dx.doi.org/10.3390/s20082261.

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Underwater Optical Wireless Communication (UOWC) is not a new idea, but it has recently attracted renewed interest since seawater presents a reduced absorption window for blue-green light. Due to its higher bandwidth, underwater optical wireless communications can support higher data rates at low latency levels compared to acoustic and RF counterparts. The paper is aimed at those who want to undertake studies on UOWC. It offers an overview on the current technologies and those potentially available soon. Particular attention has been given to offering a recent bibliography, especially on the use of single-photon receivers.
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9

Kataria, Aman, Smarajit Ghosh, Vinod Karar, Takshi Gupta, Kathiravan Srinivasan, and Yuh-Chung Hu. "Improved Diver Communication System by Combining Optical and Electromagnetic Trackers." Sensors 20, no. 18 (September 7, 2020): 5084. http://dx.doi.org/10.3390/s20185084.

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The increasing need for observation in seawater or ocean monitoring systems has ignited a considerable amount of interest and the necessity for enabling advancements in technology for underwater wireless tracking and underwater sensor networks for wireless communication. This type of communication can also play an important role in investigating ecological changes in the sea or ocean-like climate change, monitoring of biogeochemical, biological, and evolutionary changes. This can help in controlling and maintaining the production facilities of outer underwater grid blasting by deploying unmanned underwater vehicles (UUVs). Underwater tracking-based wireless networks can also help in maintaining communication between ships and divers, submarines, and between multiple divers. At present, the underwater acoustic communication system is unable to provide the data rate required to monitor and investigate the aquatic environment for various industrial applications like oil facilities or underwater grit blasting. To meet this challenge, an optical and magnetic tracking-based wireless communication system has been proposed as an effective alternative. Either optical or magnetic tracking-based wireless communication can be opted for according to the requirement of the potential application in sea or ocean. However, the hybrid version of optical and wireless tracking-based wireless communication can also be deployed to reduce the latency and improve the data rate for effective communication. It is concluded from the discussion that high data rate optical, magnetic or hybrid mode of wireless communication can be a feasible solution in applications like UUV-to-UUV and networks of aquatic sensors. The range of the proposed wireless communication can be extended using the concept of multihop.
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10

Sait, Mohammed, Xiaobin Sun, Omar Alkhazragi, Nasir Alfaraj, Meiwei Kong, Tien Khee Ng, and Boon S. Ooi. "The effect of turbulence on NLOS underwater wireless optical communication channels [Invited]." Chinese Optics Letters 17, no. 10 (2019): 100013. http://dx.doi.org/10.3788/col201917.100013.

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11

Kong, Meiwei, Jiongliang Wang, Yifei Chen, Tariq Ali, Rohail Sarwar, Yang Qiu, Shilian Wang, Jun Han, and Jing Xu. "Security weaknesses of underwater wireless optical communication." Optics Express 25, no. 18 (August 25, 2017): 21509. http://dx.doi.org/10.1364/oe.25.021509.

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12

Murgod, Tejaswini R., and S. Meenakshi Sundaram. "Survey on underwater optical wireless communication: perspectives and challenges." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (January 1, 2019): 138. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp138-146.

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<div><p class="Affiliation">The demand for underwater communication is growing at a faster pace since few decades. Maximizing the communication performance and building efficient network architecture for underwater communication is a challenging task. Due to the reduced bandwidth, high error rate, noise, propagation delay, water currents and increased cost in the network topology, the existing communication techniques are not feasible for underwater communication. Research in high speed underwater transmission technology has become a primary need in today’s world. By using underwater acoustic sensor network high transmission distance can be achieved but with lower data rates, high power consumption, larger delays and with higher cost. Underwater Optical Communication can be used to increase data rates and lower delays but it suffers from high attenuation due to which it cannot be used for data transfer over larger distances. Research in the area of hybrid sensor networks is a challenging task and has many open research challenges, which needs to be solved. In this paper we discuss the various architectures of underwater communication. A comparative study is made on different routing protocols and localization algorithms. The challenges faced by acoustic and optical communication are also discussed.</p></div>
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13

Chen, Shuo, Jun Lei Song, Zi Min Yuan, Yang Liu, and Pei Pei Guo. "Diver Communication System Based on Underwater Optical Communication." Applied Mechanics and Materials 621 (August 2014): 259–63. http://dx.doi.org/10.4028/www.scientific.net/amm.621.259.

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The underwater diver visible light communication system integrating information collection, transmission and processing achieves the optical communication device established for the diver’s underwater wireless transmission and underwater sensor network. The front-end signal acquisition module capable of carrying out voice and image acquisition utilizes a MEMS digital microphone and a high performance CMOS camera to change optical signals in to digital ones. The signal source applies wavelet conversion and the channel coding and decoding apply Turbo algorithms, channel modulation and demodulation adopt PPM modulation, so compression, coding and modulation are mounted on TI's high-performance DSP TMS320DM642 platform to ensure the stability and reliability of data transmission. Back-end data acquisition module utilizes a photomultiplier tube and its peripheral circuits for receiving and converting optical signals. Display and storage modules are TFT and SD cards to achieve data reception and sound and light reduction and storage functions.
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14

Wei Wei, 魏巍, 张晓晖 Xiaohui Zhang, 饶炯辉 Jionghui Rao, and 王文博 Wenbo Wang. "Time domain dispersion of underwater optical wireless communication." Chinese Optics Letters 9, no. 3 (2011): 030101–30104. http://dx.doi.org/10.3788/col201109.030101.

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15

Lin, Aobo, Zheng Tong, Yuhang Song, Meiwei Kong, and Jing Xu. "Underwater Wireless Optical Communication System Using Blue LEDs." Journal of Physics: Conference Series 679 (February 29, 2016): 012032. http://dx.doi.org/10.1088/1742-6596/679/1/012032.

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16

Yang, Yi, Fengtao He, Qiuping Guo, Min Wang, Jianlei Zhang, and Zuoliang Duan. "Analysis of underwater wireless optical communication system performance." Applied Optics 58, no. 36 (December 11, 2019): 9808. http://dx.doi.org/10.1364/ao.58.009808.

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17

Essalih, Taha, Mohammad Ali Khalighi, Steve Hranilovic, and Hassan Akhouayri. "Optical OFDM for SiPM-Based Underwater Optical Wireless Communication Links." Sensors 20, no. 21 (October 24, 2020): 6057. http://dx.doi.org/10.3390/s20216057.

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Underwater optical wireless systems have dual requirements of high data rates and long ranges in harsh scattering and attenuation conditions. In this paper, we investigate the advantages and limitations of optical orthogonal frequency-division multiplexing (O-OFDM) signaling when a silicon photo-multiplier (SiPM) is used at the receiver in order to ensure high sensitivity. Considering a light-emitting diode (LED) transmitter and taking into account the limited dynamic range imposed by the transmitter and the SiPM receiver, we study the performance of three popular O-OFDM schemes, i.e., DC-biased, asymmetrically-clipped, and layered asymmetrically-clipped O-OFDM (DCO-, ACO-, and LACO-OFDM, respectively). We consider a constraint on transmit electrical power PTxe and take into account the required DC bias for the three considered schemes in practice, showing the undeniable advantage of ACO- and LACO-OFDM in terms of energy efficiency. For instance, for the considered SiPM and LED components, a spectral efficiency of ∼1 bps/Hz with a data rate of 20 Mbps, a link range of 70 m, and a target bit-error-rate (BER) of 10−3, ACO and LACO allow a reduction of about 10 and 6 mW, respectively, in the required PTxe, compared to DCO-OFDM. Meanwhile, we show that when relaxing the PTxe constraint, DCO-OFDM offers the largest operational link range within which a target BER can be achieved. For instance, for a target BER of 10−3 and a data rate of 20 Mbps, and considering PTxe of 185, 80, and 50 mW for DCO-, LACO-, and ACO-OFDM, respectively, the corresponding intervals of operational link range are about 81, 74.3, and 73.8 m. Lastly, we show that LACO-OFDM makes a good compromise between energy efficiency and operational range flexibility, although requiring a higher computational complexity and imposing a longer latency at the receiver.
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18

Roumelas, Nistazakis, Stassinakis, Volos, and Tsigopoulos. "Underwater Optical Wireless Communications with Chromatic Dispersion and Time Jitter." Computation 7, no. 3 (July 11, 2019): 35. http://dx.doi.org/10.3390/computation7030035.

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The obsolete communication systems used in the underwater environment necessitates the development and use of modern telecommunications technologies. One such technology is the optical wireless communications, which can provide very high data rates, almost infinite bandwidth and very high transmission speed for real time fast and secure underwater links. However, the composition and the optical density of seawater hinder the communication between transmitter and receiver, while many significant effects strongly mitigate the underwater optical wireless communication (UOWC) systems’ performance. In this work, the influences of chromatic dispersion and time jitter are investigated. Chromatic dispersion causes the temporal broadening or narrowing of the pulse, while time jitter complicates the detection process at the receiver. Thus, the broadening of the optical pulse due to chromatic dispersion is studied and the influence of the initial chirp is examined. Moreover, the effect of the time jitter is also taken into consideration and for the first time, to the best of our knowledge, a mathematical expression for the probability of fade is extracted, taking into account the influence of both of the above-mentioned effects for a UOWC system. Finally, the appropriate numerical results are presented.
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19

Rani, Jansi J., S. Anusuya, B. Vidhya, and Benedict M. Tephila. "A Study on Techniques of Underwater Optical Communication." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 525–28. http://dx.doi.org/10.1166/jctn.2019.7763.

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In recent years, the higher data rate and a higher degree of accuracy in transmissions have been achieved through wireless communication technology. The underwater communication is one of the trending technologies in wireless communication. The underwater data transmission is carried out by the acoustic waves which produce vibrations of sounds during its transmission. These vibrations have disturbed the creatures present underwater and additionally it may cause some noise. The results of many recent researches have concluded that the vibrations produced by the acoustic waves cause the disturbances in the earth plates and due to which the natural calamities like tsunami, earthquakes etc., have been occurring. The underwater communication is mostly used for military applications and for the transmission of sensitive information within the shortest distance of a particular area. The use of acoustic waves produces a low data rate and increased time delay. In addition to that, these waves are unreliable and complex due to multipath propagations in water. The acoustic waves employ modulation techniques like FSK, PSK and OFDM for the data transmission and consume more energy and power. So lately, the transmission of data in underwater is carried out by using the optical waves. ON–OFF keying technique is most commonly used modulation technique with attractive features such as high data rate, less delay, low power consumption, energy saving, and better accuracy than the other techniques.
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20

Kakati, Amayika, Deeksha Sharma, and Nikhil N. Aggarwal. "A BRIEF SURVEY ON UNDERWATER WIRELESS OPTICAL COMMUNICATION SYSTEM." International Journal of Research -GRANTHAALAYAH 6, no. 6 (June 30, 2018): 238–45. http://dx.doi.org/10.29121/granthaalayah.v6.i6.2018.1370.

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The underwater wireless optical communication (UWOC) system gives very high rate of underwater data transmission over several meters. It utilizes the visible band in the spectral range of 390-750nm of the electromagnetic spectrum. In this paper, we study various types of link configurations depending upon the circumstances in water environment. We also study the effect of various water types on the system performance. We find that the UWOC system is affected especially by inherent optical properties such as absorption and scattering and the effect of these properties is different in various water types. We also present that misalignment in UOWC system adversely affects its functioning and reliability. Finally, we present that hybrid system design for a proper systematic UOWC system.
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21

Ooi, Boon S., Meiwei Kong, and Tien Khee Ng. "Underwater wireless optical communications: Opportunity, challenges and future prospects commentary on “Recent progress in and perspectives of underwater wireless optical communication”." Progress in Quantum Electronics 73 (September 2020): 100275. http://dx.doi.org/10.1016/j.pquantelec.2020.100275.

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22

SAWA, Takao, Naoki NISHIMURA, Koji TOJO, and Shin ITO. "Practical Performance and Prospect of Underwater Optical Wireless Communication." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E102.A, no. 1 (January 1, 2019): 156–67. http://dx.doi.org/10.1587/transfun.e102.a.156.

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23

Song, Yuhang, Weichao Lu, Bin Sun, Yang Hong, Fengzhong Qu, Jun Han, Wei Zhang, and Jing Xu. "Experimental demonstration of MIMO-OFDM underwater wireless optical communication." Optics Communications 403 (November 2017): 205–10. http://dx.doi.org/10.1016/j.optcom.2017.07.051.

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24

Arnon, Shlomi, and Debbie Kedar. "Non-line-of-sight underwater optical wireless communication network." Journal of the Optical Society of America A 26, no. 3 (February 12, 2009): 530. http://dx.doi.org/10.1364/josaa.26.000530.

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25

Tang, Shijian, Yuhan Dong, and Xuedan Zhang. "Impulse Response Modeling for Underwater Wireless Optical Communication Links." IEEE Transactions on Communications 62, no. 1 (January 2014): 226–34. http://dx.doi.org/10.1109/tcomm.2013.120713.130199.

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26

Al-Halafi, Abdullah, and Basem Shihada. "UHD Video Transmission Over Bidirectional Underwater Wireless Optical Communication." IEEE Photonics Journal 10, no. 2 (April 2018): 1–14. http://dx.doi.org/10.1109/jphot.2018.2821695.

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27

Nie, Jiewen, Lei Tian, Haozhi Wang, Long Chen, Zhuoran Li, Song Yue, Zichen Zhang, and Haining Yang. "Adaptive beam shaping for enhanced underwater wireless optical communication." Optics Express 29, no. 17 (August 2, 2021): 26404. http://dx.doi.org/10.1364/oe.434387.

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28

Campagnaro, Filippo, Alberto Signori, and Michele Zorzi. "Wireless Remote Control for Underwater Vehicles." Journal of Marine Science and Engineering 8, no. 10 (September 24, 2020): 736. http://dx.doi.org/10.3390/jmse8100736.

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Nowadays, the increasing availability of commercial off-the-shelf underwater acoustic and non-acoustic (e.g., optical and electromagnetic) modems that can be employed for both short-range broadband and long-range low-rate communication, the increasing level of autonomy of underwater vehicles, and the refinement of their underwater navigation systems pave the way for several new applications, such as data muling from underwater sensor networks and the transmission of real-time video streams underwater. In addition, these new developments inspired many companies to start designing hybrid wireless-driven underwater vehicles specifically tailored for off-shore operations and that are able to behave either as remotely operated vehicles (ROVs) or as autonomous underwater vehicles (AUVs), depending on both the type of mission they are required to perform and the limitations imposed by underwater communication channels. In this paper, we evaluate the actual quality of service (QoS) achievable with an underwater wireless-piloted vehicle, addressing the realistic aspects found in the underwater domain, first reviewing the current state-of-the-art of communication technologies and then proposing the list of application streams needed for control of the underwater vehicle, grouping them in different working modes according to the level of autonomy required by the off-shore mission. The proposed system is finally evaluated by employing the DESERT Underwater simulation framework by specifically analyzing the QoS that can be provided to each application stream when using a multimodal underwater communication system specifically designed to support different traffic-based QoSs. Both the analysis and the results show that changes in the underwater environment have a strong impact on the range and on the stability of the communication link.
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29

Zhou, Zihao, Shangsheng Wen, Yue Li, Wenxi Xu, Zhijian Chen, and Weipeng Guan. "Performance Enhancement Scheme for RSE-Based Underwater Optical Camera Communication Using De-Bubble Algorithm and Binary Fringe Correction." Electronics 10, no. 8 (April 16, 2021): 950. http://dx.doi.org/10.3390/electronics10080950.

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Optical camera communications (OCC) has been growing rapidly in recent years, which offers a flexible and low-cost way to achieve underwater wireless optical communication (UWOC). However, the existence of underwater bubbles and suspended impurities will greatly decrease the signal quality. In this paper, we propose a de-bubble algorithm and a sampling scheme based on binary fringes correction (BFC) to enhance the communication quality. The experimental results demonstrate that a robust transmission can be achieved in the harsh bubble environment by applying the proposed two algorithms.
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30

Lin, Runze, Xiaoyan Liu, Gufan Zhou, Zeyuan Qian, Xugao Cui, and Pengfei Tian. "InGaN Micro‐LED Array Enabled Advanced Underwater Wireless Optical Communication and Underwater Charging." Advanced Optical Materials 9, no. 12 (April 12, 2021): 2002211. http://dx.doi.org/10.1002/adom.202002211.

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31

Peppas, Kostas P., Anthony C. Boucouvalas, Zabih Ghassemloy, Mohhamad-Ali Khalighi, Kostas Yiannopoulos, and Nikos C. Sagias. "Semiconductor optical amplifiers for underwater optical wireless communications." IET Optoelectronics 11, no. 1 (February 1, 2017): 15–19. http://dx.doi.org/10.1049/iet-opt.2016.0010.

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32

Rani, Meenu, and Poonam Singal. "Networks of Underwater Sensor Wireless Systems." International Journal of Wireless Networks and Broadband Technologies 10, no. 1 (January 2021): 59–69. http://dx.doi.org/10.4018/ijwnbt.2021010104.

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Underwater wireless networks have been the subject of considerable attention in research and development by both academia and industry, while applications are expanding to a wide range of uses, including industrial, scientific, military, and environmental applications. The paper presents a analysis of the underwater wireless sensor network, a system that is promising to reveal the secrets of marine life and other underwater applications. The information about the underwater channel was listed with a focus on communication of both the acoustic and optical kind. Then, the node location strategies and related protocols for routing that can be applied to the desired communication type were discussed briefly. The hard environment and peculiar features of UWSNs are responsible for efficient communication between sensors in UWSNs. This paper proposes a robust and energy-efficient UWSN location-free routing system, based on constraint. RE-PBR takes into account three criteria, including performance, depth, and residual power connections, to balance energy consumption and to produce usable results. The findings of the simulation show that the proposed work decreases travel costs and by using less energy increases the network's life.
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33

Li, Chung-Yi, Hai-Han Lu, Yong-Cheng Huang, Qi-Ping Huang, Jing-Yan Xie, and Song-En Tsai. "50 Gb/s PAM4 underwater wireless optical communication systems across the water–air–water interface [Invited]." Chinese Optics Letters 17, no. 10 (2019): 100004. http://dx.doi.org/10.3788/col201917.100004.

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34

Roumelas, George D., Hector E. Nistazakis, Argyris N. Stassinakis, George K. Varotsos, Andreas D. Tsigopoulos, and George S. Tombras. "Time Jitter, Turbulence and Chromatic Dispersion in Underwater Optical Wireless Links." Technologies 8, no. 1 (December 22, 2019): 3. http://dx.doi.org/10.3390/technologies8010003.

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The performance of an underwater optical wireless communication link is investigated by taking into account—for the first time and to the best of our knowledge—the simultaneous influence of the chromatic dispersion, the time jitter and the turbulence effects, by assuming chirped longitudinal Gaussian pulse propagation as information carriers. The estimation procedure is presented and a novel probability density function is extracted in order to describe the irradiance fluctuations at the receiver side. Furthermore, the availability of the link is investigated by means of its probability of fade and various numerical results are presented using typical parameters for the underwater optical wireless communication systems.
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35

Li, Yiming, Haodong Liang, Chao Gao, Maoke Miao, and Xiaofeng Li. "Temporal dispersion compensation for turbid underwater optical wireless communication links." Optics Communications 435 (March 2019): 355–61. http://dx.doi.org/10.1016/j.optcom.2018.11.062.

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36

Zhu, Shijie, Xinwei Chen, Xiaoyan Liu, Guoqi Zhang, and Pengfei Tian. "Recent progress in and perspectives of underwater wireless optical communication." Progress in Quantum Electronics 73 (September 2020): 100274. http://dx.doi.org/10.1016/j.pquantelec.2020.100274.

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37

Ji, Yawei, Guofeng Wu, and Yu Zuo. "Performance Analysis of SPAD-Based Underwater Wireless Optical Communication Systems." Procedia Computer Science 131 (2018): 1134–41. http://dx.doi.org/10.1016/j.procs.2018.04.282.

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38

M., Maria, Wafa M., Rehab A., Ghaida G., and Hemalatha M. "Vision and Challenges of Underwater Optical Wireless Communication - A Survey." International Journal of Computer Applications 167, no. 8 (June 15, 2017): 8–10. http://dx.doi.org/10.5120/ijca2017914326.

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39

Chakravartula, Venkatesh, and Dhanalakshmi Samiappan. "Bio-inspired cooperative diversity link in underwater optical wireless communication." Optics & Laser Technology 116 (August 2019): 180–88. http://dx.doi.org/10.1016/j.optlastec.2019.03.029.

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40

Xu, Jing, Bin Sun, Meiwei Kong, Aobo Lin, Rohail Sarwar, Jun Han, Wei Zhang, and Ning Deng. "Underwater wireless optical communication using a blue-light leaky feeder." Optics Communications 397 (August 2017): 51–54. http://dx.doi.org/10.1016/j.optcom.2017.03.055.

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41

Tabeshnezhad, Azadeh, and Mohammad Ali Pourmina. "Outage analysis of relay-assisted underwater wireless optical communication systems." Optics Communications 405 (December 2017): 297–305. http://dx.doi.org/10.1016/j.optcom.2017.08.051.

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42

Jamali, Mohammad Vahid, Ata Chizari, and Jawad A. Salehi. "Performance Analysis of Multi-Hop Underwater Wireless Optical Communication Systems." IEEE Photonics Technology Letters 29, no. 5 (March 1, 2017): 462–65. http://dx.doi.org/10.1109/lpt.2017.2657228.

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43

Yakovlev, V. A., A. G. Zhurenkov, P. K. Shul’zhenko, L. F. Musin, and A. P. Frolov. "Optoacoustic aiming device for an underwater wireless optical communication system." Journal of Optical Technology 79, no. 10 (October 31, 2012): 678. http://dx.doi.org/10.1364/jot.79.000678.

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44

Cossu, Giulio, Alessandro Sturniolo, Alessandro Messa, David Scaradozzi, and Ernesto Ciaramella. "Full-Fledged 10Base-T Ethernet Underwater Optical Wireless Communication System." IEEE Journal on Selected Areas in Communications 36, no. 1 (January 2018): 194–202. http://dx.doi.org/10.1109/jsac.2017.2774702.

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45

Lu, Hai-Han, Chung-Yi Li, Hung-Hsien Lin, Wen-Shing Tsai, Chien-An Chu, Bo-Rui Chen, and Chang-Jen Wu. "An 8 m/9.6 Gbps Underwater Wireless Optical Communication System." IEEE Photonics Journal 8, no. 5 (October 2016): 1–7. http://dx.doi.org/10.1109/jphot.2016.2601778.

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46

Liu, Weihao, Zhengyuan Xu, and Liuqing Yang. "SIMO detection schemes for underwater optical wireless communication under turbulence." Photonics Research 3, no. 3 (April 6, 2015): 48. http://dx.doi.org/10.1364/prj.3.000048.

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47

Li, Chung-Yi, Hai-Han Lu, Wen-Shing Tsai, Zhen-Han Wang, Chung-Wei Hung, Chung-Wei Su, and Yi-Feng Lu. "A 5 m/25 Gbps Underwater Wireless Optical Communication System." IEEE Photonics Journal 10, no. 3 (June 2018): 1–9. http://dx.doi.org/10.1109/jphot.2018.2842762.

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48

Fickenscher, T., J. Holborn, and D. V. Thiel. "Underwater wireless optical communication for swimmer feedback using IrDA transceiver." Electronics Letters 47, no. 24 (2011): 1335. http://dx.doi.org/10.1049/el.2011.2698.

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49

Zou, Cong, and Fang Yang. "Autoencoder based underwater wireless optical communication with high data rate." Optics Letters 46, no. 6 (March 15, 2021): 1446. http://dx.doi.org/10.1364/ol.419833.

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Lian, Jie, Yan Gao, Peng Wu, and Dianbin Lian. "Orthogonal Frequency Division Multiplexing Techniques Comparison for Underwater Optical Wireless Communication Systems." Sensors 19, no. 1 (January 4, 2019): 160. http://dx.doi.org/10.3390/s19010160.

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Abstract:
Optical wireless communication is an energy-efficient and cost-effective solution for high-speed and highly-secure wireless connections. In this paper, we compare, discuss, and analyze three popular optical orthogonal frequency division multiplexing (OFDM) techniques, such as DC-biased optical OFDM (DCO-OFDM), asymmetrically-clipped optical OFDM (ACO-OFDM), and unipolar OFDM (U-OFDM), for underwater optical wireless communication systems. The peak power constraint, bandwidth limit of the light source, turbulence fading underwater channel, and the channel estimation error are taken into account. To maximize the achievable data propagation distance, we propose to optimize the modulation index that controls the signal magnitude, and a bitloading algorithm is applied. This optimization process trades off the clipping distortion caused by the peak power constraint and the signal to noise ratio (SNR). The SNR and clipping effects of the three compared OFDM techniques are modeled in this paper. From the numerical results, DCO-OFDM outperforms ACO- and U-OFDM when the transmitted bit rate is high compared to the channel bandwidth. Otherwise, U-OFDM can provide a longer propagation distance or requires less transmitted power.
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