| Peer-Reviewed

Performance of Non-Line of Sight Underwater Optical Wireless Communication Links with Spatial Diversity

Received: 21 March 2021    Accepted: 2 June 2021    Published: 5 February 2022
Views:       Downloads:
Abstract

Line-of-sight (LOS) underwater optical wireless communication (UOWC) transmission may suffer blocking and are not always possible due to obstructions from sea creatures, bubbles, large suspended particles and features of the seabed, especially in coastal and turbid water environments. Thus, we present the performance of a spatially diverse non-line-of-sight (NLOS) UOWC system employing continuous phase modulation (CPM), which is shown to offer sensitivity benefits of several dBs over on–off keying (OOK) without coherent reception. We obtain the channel impulse response (CIR) by using Monte Carlo simulation, including absorption and multiple scattering. Turbulence is included by conditioning the CIR on log-normal statistics. To mitigate the resultant fading, we exploit spatial diversity with equal gain combining at the receiver side. Photon counting at the receiver is employed to accommodate shot noise. We compare the saddlepoint and Gaussian approximations for bit error rate (BER) calculations, using the latter for later calculations as it delivers excellent results and is simpler. Our results show that spatial diversity offers performance improvements, for example an 8 dB sensitivity gain at 10-9 BER using 1 Gbps 3×1 multiple-input single-output (MISO) transmission over a 20 m link with 0.16 log-amplitude variance. We determine using an upper bound that Intersymbol Interference (ISI) has a significant impact at high bit rates, producing error floors for multiple-output arrangements.

Published in American Journal of Electrical and Computer Engineering (Volume 6, Issue 1)
DOI 10.11648/j.ajece.20220601.12
Page(s) 15-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Underwater Optical Wireless Communications, Non-line of Sight Link, Multiple Input-multiple Output, Monte Carlo, Turbulence, Bit Error Rate

References
[1] Livi Bacci, M.: 'A Concise History of World Population' (Wiley, 6th edn. 2017).
[2] Petersen, S., Krätschell, A., Augustin, N., Jamieson J., Hein, J. R., Hannington, M. D.: ‘News from the seabed – Geological characteristics and resource potential of deep-sea mineral resources’, Marine Policy, 2016, 70, pp. 175-187.
[3] Chen, O, L.: ‘The big picture: future global seafood markets’, in Cisneros-Montemayor, A. M., Cheung, W. W. L, Ota, Y. (Eds.): ‘Predicting Future Oceans: Sustainability of Ocean and Human Systems Amidst Global Environmental Change’ (Elsevier, 2019 1st edn.), pp. 241-248.
[4] Zeng, Z., Fu, S., Zhang, H., Dong, Y., Cheng, J.: ‘A survey of underwater optical wireless communications’, IEEE Communications Surveys and Tutorials, 2017, 19 (1), pp. 204-238.
[5] McCammon, S., Hollinger, G. A.: ‘Planning and executing optimal non-entangling paths for tethered underwater vehicles’, Proc. IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 2017, pp. 3040-3046.
[6] Pompili, D., Akyildiz, I. F.: ‘Overview of networking protocols for underwater wireless communications’, IEEE Comm. Mag., 2009, 47, (1), pp. 97–102.
[7] Song, A., Stojanovic, M., Chitre, M.: ‘Editorial Underwater Acoustic Communications: Where we stand and what is next?’, IEEE Journal of Oceanic Engineering, 2019, 44, (1), pp. 1–6.
[8] Partan, J., Kurose, J., Levine, B. N.: ‘A survey of practical issues in underwater networks’, ACM SIGMOBILE Mobile Comput. Comm. Rev., 2007, 11, (4), pp. 23–33.
[9] Au, W. W., Nachtigall, P. E., Pawloski, J. L.: ‘Acoustic effects of the ATOC signal (75 Hz, 195 dB) on dolphins and whales’, J. Acoust. Soc. Amer., 1997, 101, (5), pp. 2973–2977.
[10] L. J. Johnson, F. Jasman, R. J. Green, M. S. Leeson: ‘Recent Advances in Underwater Optical Wireless Communication’, Underwater Technology, 2014, 32, (3), pp. 167-175.
[11] Akhoundi, F., Jamali, M. V., Banihassan, N., Beyranvand, H., Minoofar, A., Salehi, J. A.: ‘Cellular underwater wireless optical CDMA network: potentials and challenges’, IEEE Access, 2016, 4, pp. 4254–4268.
[12] Saeed, N. Celik, A., Al-Naffouri, T., Alouini, M.-S.: ‘Underwater Optical Wireless Communications, Networking, and Localization: A Survey’, Ad Hoc Networks, 2019, 94, art. 101935.
[13] Cox, W., Muth, J.: ‘Simulating channel losses in an underwater optical communication system’, J. Opt. Soc. Am. A, 2014, 31, (5), pp. 920-934.
[14] Tang, S., Zhang, X., Dong, Y.: ‘Temporal statistics of irradiance in moving turbulent ocean’, Proc. IEEE OCEANS, Bergen, Norway, June 2013, pp. 1–4.
[15] Kaushal, H., Kaddoum, G.: ‘Optical Communication in Space: Challenges and Mitigation Techniques’, IEEE Communications Surveys & Tutorials, 2017, 19, (1), pp. 57-96.
[16] Korotkova O., Farwell N., Shchepakina, E.: ‘Light scintillation in oceanic turbulence’, Waves in Random and Complex Media, 2012, 22, (2), pp. 260–266.
[17] Farwell, N., Korotkova, O.: ‘Intensity and coherence properties of light in oceanic turbulence’, Optics Communications, 2012, 285, (6), pp. 872–875.
[18] Ata, Y., Baykal Y.: ‘Scintillations of optical plane and spherical waves in underwater turbulence’, Journal of the Optical Society of America A, 2014, 31, (7), pp. 1552–1556.
[19] Vali, Z., Gholami, A., Ghassemlooy, Z. et al.: ‘Modeling turbulence in underwater wireless optical communications based on Monte Carlo simulation’, Journal of the Optical Society of America A, 2017, 34, (7), pp. 1187-1193.
[20] Jansen, S. L, Morita, I., Schenk, T. C., et al.: ‘Long-haul transmission of 16 × 52.5 Gb/s polarization-division-multiplexed OFDM enabled by MIMO processing’, Journal of Optical Networking, 2008, 7, (2), pp. 173–182.
[21] Azhar, A. H., Tran, T., O’Brien, D. C.: ‘A Gigabit/s Indoor Wireless Transmission Using MIMO-OFDM Visible-Light Communications’, IEEE Photonics Technology Letters, 2013, 25, (2), pp. 171–174.
[22] Hong, Y., Wu, T., Chen, L. K.: ‘On the performance of adaptive MIMO-OFDM indoor visible light communications’, IEEE Photonics Technology Letters, 2016, 28, (8), pp. 907–910.
[23] Jamali, M. V., Salehi, J. A.: ‘On the BER of multiple-input multiple-output underwater wireless optical communication systems’, Proc. Optical Wireless Communications (IWOW), Istanbul, Turkey, September 2015, pp. 26–30.
[24] Simpson, J. A.: ‘A 1 Mbps underwater communications system using LEDs and photodiodes with signal processing capability’, MS thesis, North Carolina State University, Raleigh, 2008.
[25] Einarsson, G.: ‘Principles of Lightwave communications’ (Wiley, 1996).
[26] Umar, A. B., Leeson, M. S., Abdullahi, I.: ‘Modelling Impulse Response for NLOS Underwater Optical Wireless Communications’, Proc. IEEE International Conference on Electronics Computer and Computation (ICECCO), Abuja, Nigeria, December 2019, pp. 1-6.
[27] Lee M. E., Korchemkina E. N.: ‘Volume Scattering Function of Seawater’, in: Kokhanovsky A. (Ed.): ‘Light Scattering, Radiative Transfer and Remote Sensing’, (Springer, 2018), pp 151-195.
[28] Jamali, M. V., Salehi, J. A., Akhoundi, F.: ‘Performance Studies of Underwater Wireless Optical Communication Systems with Spatial Diversity: MIMO Scheme’, IEEE Transactions on Communications, 2017, 65, (3), pp. 1176-1192.
[29] Korotkova, O., Farwell, N., Shchepakina, E.: ‘Light scintillation in oceanic turbulence’, Waves in Random and Complex Media, 20102, 22, (2), pp. 260–266.
[30] Andrews, L. C., Philips, R. L., Hopen, C. Y.: ‘Laser Beam Scintillation with Applications’, (SPIE, 2001).
[31] Liu, W., Xu, Z., Yang, L.: ‘SIMO detection schemes for underwater optical wireless communication under turbulence’, Photonics Research, 2015, 3, (3), pp. 48-53.
[32] Bian, R., Tavakkolnia, I., Haas, H.: ‘10.2 Gb/s Visible Light Communication with Off-the-Shelf LEDs’, Proc. European Conference on Optical Communication (ECOC), Rome, Italy, September 2018, pp. 1-3.
[33] Barbieri, A., Fertonani, D., Colavolpe, G.: ‘Spectrally-efficient continuous phase modulations’, IEEE Transactions on Wireless Communications, 2009, 8, (3), pp. 1564–1572.
[34] Detwiler, T. F., Searcy, S. M., Ralph, S. E., Basch, B.: ‘Continuous phase modulation for fiber-optic links’, Journal of Lightwave Technology, 2011, 29, (24), pp. 3659–3671.
[35] Weikert, O, Zölzer, U: ‘A wireless MIMO CPM system with blind signal separation for incoherent demodulation’, Advances in Radio Science, 2008, 6, pp. 101–105.
[36] Umar, A. B., Leeson, M. S.: ‘Performance of Non-Line-of-Sight Underwater Optical Wireless Communications; Proc. 2nd IEEE British and Irish Conference on Optics and Photonics (BICOP), London, United Kingdom, December 2019, pp. 1-4.
[37] Jaruwatanadilok, S.: ‘Underwater Wireless Optical Communication Channel Modeling and Performance Evaluation using Vector Radiative Transfer Theory’, IEEE Journal on Selected Areas in Communications, 2008, 26, (9), pp. 1620-1627.
[38] Giles, J. W., Bankman, I. N.: ‘Underwater optical communications systems. Part 2: basic design considerations’, Proc. IEEE Military Communications Conference (MILCOM), Atlantic City, NJ, October 2005, pp. 1700-1705.
[39] Leeson, M. S.: ‘A Fast Approximation for Bit Error Rate Calculations in Optically Preamplified Receivers’, Electron. Lett., 1997, 33, (15), pp. 1329-1330.
[40] El-Howayek, G., Zhang, C., Li, Y., Ng, J. S., David, J. P. R.: ‘On the Use of Gaussian Approximation in Analyzing the Performance of Optical Receivers’, IEEE Photonics Journal, 2014, 6, (1), pp. 1-8.
Cite This Article
  • APA Style

    Al-Amin Barambu Umar, Mark Stephen Leeson. (2022). Performance of Non-Line of Sight Underwater Optical Wireless Communication Links with Spatial Diversity. American Journal of Electrical and Computer Engineering, 6(1), 15-23. https://doi.org/10.11648/j.ajece.20220601.12

    Copy | Download

    ACS Style

    Al-Amin Barambu Umar; Mark Stephen Leeson. Performance of Non-Line of Sight Underwater Optical Wireless Communication Links with Spatial Diversity. Am. J. Electr. Comput. Eng. 2022, 6(1), 15-23. doi: 10.11648/j.ajece.20220601.12

    Copy | Download

    AMA Style

    Al-Amin Barambu Umar, Mark Stephen Leeson. Performance of Non-Line of Sight Underwater Optical Wireless Communication Links with Spatial Diversity. Am J Electr Comput Eng. 2022;6(1):15-23. doi: 10.11648/j.ajece.20220601.12

    Copy | Download

  • @article{10.11648/j.ajece.20220601.12,
      author = {Al-Amin Barambu Umar and Mark Stephen Leeson},
      title = {Performance of Non-Line of Sight Underwater Optical Wireless Communication Links with Spatial Diversity},
      journal = {American Journal of Electrical and Computer Engineering},
      volume = {6},
      number = {1},
      pages = {15-23},
      doi = {10.11648/j.ajece.20220601.12},
      url = {https://doi.org/10.11648/j.ajece.20220601.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20220601.12},
      abstract = {Line-of-sight (LOS) underwater optical wireless communication (UOWC) transmission may suffer blocking and are not always possible due to obstructions from sea creatures, bubbles, large suspended particles and features of the seabed, especially in coastal and turbid water environments. Thus, we present the performance of a spatially diverse non-line-of-sight (NLOS) UOWC system employing continuous phase modulation (CPM), which is shown to offer sensitivity benefits of several dBs over on–off keying (OOK) without coherent reception. We obtain the channel impulse response (CIR) by using Monte Carlo simulation, including absorption and multiple scattering. Turbulence is included by conditioning the CIR on log-normal statistics. To mitigate the resultant fading, we exploit spatial diversity with equal gain combining at the receiver side. Photon counting at the receiver is employed to accommodate shot noise. We compare the saddlepoint and Gaussian approximations for bit error rate (BER) calculations, using the latter for later calculations as it delivers excellent results and is simpler. Our results show that spatial diversity offers performance improvements, for example an 8 dB sensitivity gain at 10-9 BER using 1 Gbps 3×1 multiple-input single-output (MISO) transmission over a 20 m link with 0.16 log-amplitude variance. We determine using an upper bound that Intersymbol Interference (ISI) has a significant impact at high bit rates, producing error floors for multiple-output arrangements.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Performance of Non-Line of Sight Underwater Optical Wireless Communication Links with Spatial Diversity
    AU  - Al-Amin Barambu Umar
    AU  - Mark Stephen Leeson
    Y1  - 2022/02/05
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ajece.20220601.12
    DO  - 10.11648/j.ajece.20220601.12
    T2  - American Journal of Electrical and Computer Engineering
    JF  - American Journal of Electrical and Computer Engineering
    JO  - American Journal of Electrical and Computer Engineering
    SP  - 15
    EP  - 23
    PB  - Science Publishing Group
    SN  - 2640-0502
    UR  - https://doi.org/10.11648/j.ajece.20220601.12
    AB  - Line-of-sight (LOS) underwater optical wireless communication (UOWC) transmission may suffer blocking and are not always possible due to obstructions from sea creatures, bubbles, large suspended particles and features of the seabed, especially in coastal and turbid water environments. Thus, we present the performance of a spatially diverse non-line-of-sight (NLOS) UOWC system employing continuous phase modulation (CPM), which is shown to offer sensitivity benefits of several dBs over on–off keying (OOK) without coherent reception. We obtain the channel impulse response (CIR) by using Monte Carlo simulation, including absorption and multiple scattering. Turbulence is included by conditioning the CIR on log-normal statistics. To mitigate the resultant fading, we exploit spatial diversity with equal gain combining at the receiver side. Photon counting at the receiver is employed to accommodate shot noise. We compare the saddlepoint and Gaussian approximations for bit error rate (BER) calculations, using the latter for later calculations as it delivers excellent results and is simpler. Our results show that spatial diversity offers performance improvements, for example an 8 dB sensitivity gain at 10-9 BER using 1 Gbps 3×1 multiple-input single-output (MISO) transmission over a 20 m link with 0.16 log-amplitude variance. We determine using an upper bound that Intersymbol Interference (ISI) has a significant impact at high bit rates, producing error floors for multiple-output arrangements.
    VL  - 6
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • School of Engineering, University of Warwick, Coventry, UK

  • School of Engineering, University of Warwick, Coventry, UK

  • Sections