BER Performance of NLOS Underwater Wireless Optical Communication with Multiple Scattering

Recently, there is a lot of interest in the field of under water optical wireless communication for short range because of its high bandwidth. But in most of the previous works line of sight propagation or single scattering of photons only considered. In practical case this is not applicable because of beam blockage in underwater and multiple scattering also occurred during the photons propagation through water. In this paper we consider a non-line of sight underwater wireless optical communication system with multiple scattering and examine the performance of the system using monte carlo simulation. The distribution scattering angle of photons are modeled by Henyey-Greenstein method. The average bit error rate is calculated using on-off keying modulation for different water types. Keywords—Non line of sight under Water optical wireless communication, Henyey-Greenstein model, Multiple scattering, Monte-Carlo simulation.

[1]  Brian M. Sadler,et al.  Modeling of non-line-of-sight ultraviolet scattering channels for communication , 2009, IEEE J. Sel. Areas Commun..

[2]  Yuan Li,et al.  Research challenges and applications for underwater sensor networking , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[3]  Yuhan Dong,et al.  Impulse Response Modeling for Underwater Wireless Optical Communication Links , 2014, IEEE Transactions on Communications.

[4]  B.M. Cochenour,et al.  Characterization of the Beam-Spread Function for Underwater Wireless Optical Communications Links , 2008, IEEE Journal of Oceanic Engineering.

[5]  W. Steen.  Absorption and Scattering of Light by Small Particles , 1999 .

[6]  Ghalib A. Shah,et al.  A Survey on Medium Access Control in Underwater Acoustic Sensor Networks , 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

[7]  I. Bankman,et al.  Underwater optical communications systems. Part 2: basic design considerations , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[8]  Davide Anguita,et al.  Building an Underwater Wireless Sensor Network Based on Optical: Communication: Research Challenges and Current Results , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[9]  C. Mobley.  Light and Water: Radiative Transfer in Natural Waters , 1994 .

[10]  R. Bukata,et al.  Optical Properties and Remote Sensing of Inland and Coastal Waters , 1995 .

[11]  M. Khalighi,et al.  Impact of different noise sources on the performance of PIN- and APD-based FSO receivers , 2011, Proceedings of the 11th International Conference on Telecommunications.

[12]  Shlomi Arnon,et al.  Underwater optical wireless communication network , 2010 .

[13]  K. S. Shifrin.  Physical optics of ocean water , 1988 .

[14]  Shlomi Arnon,et al.  Non-line-of-sight underwater optical wireless communication network. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

[15]  Sermsak Jaruwatanadilok,et al.  Underwater Wireless Optical Communication Channel Modeling and Performance Evaluation using Vector Radiative Transfer Theory , 2008, IEEE Journal on Selected Areas in Communications.

[16]  J. H. Smart,et al.  Underwater optical communications systems part 1: variability of water optical parameters , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[17]  V. Rigaud,et al.  Monte-Carlo-based channel characterization for underwater optical communication systems , 2013, IEEE/OSA Journal of Optical Communications and Networking.

[18]  F. Hanson,et al.  High bandwidth underwater optical communication. , 2008, Applied optics.