Monte-Carlo-based channel characterization for underwater optical communication systems
By C. Gabriel, Mohammad Ali Khalighi, Salah Bourennane, P. Léon, V. Rigaud. IEEE\/OSA Journal of Optical Communications and Networking, 2013
425 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Ocean Engineering, Oceanography
View Paper: https://www.semanticscholar.org/paper/b39f7e2ed7804c3aba326f149c0dc7cd4efc2aff
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In Electrical and Electronic Engineering
- Julian Cheng
- Georges Kaddoum
- Hemani Kaushal
- Lajos Hanzo
- Wei Xiang
- Mohammad Jahanbakht
- Mostafa Rahimi Azghadi
- Mohammad Ali Khalighi
In Ocean Engineering
- Lajos Hanzo
- Wei Xiang
- Mohammad Jahanbakht
- Mostafa Rahimi Azghadi
- Murat Uysal
- Shu Fu
- Julian Cheng
- Yuhan Dong
In Oceanography
Citations in the corpus
- A Long Distance Underwater Visible Light Communication System With Single Photon Avalanche Diode (2016, methodology): “The corresponding attenuation coefficients that come from actual measurement [18] are listed in Table I.”
- Underwater Optical Wireless Communication (2016, methodology): “Further, the work in [141] was extended to study the channel impulse response by solving the RTE through Monte Carlo simulation [123] using TTHG function.”
- Survey on Free Space Optical Communication: A Communication Theory Perspective (2014, background): “(WBAN) and wireless personal area network (WPAN) applications [30], underwater communications [31], [32].”
- Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey (2020, methodology): “Several previous studies have performed numerical simulations to estimate the attenuation [8], [47], [48].”
- A Survey of Underwater Optical Wireless Communications (2017, background): “Considering the difficulty in measuring the SPF, the HenyeyGreenstein (HG) function is commonly introduced to present the SPF as [55]–[59]”
- Recent advances in underwater optical wireless communications (2014, background): “Examples of use in underwater optical communication modelling can be found in the radiative vector analysis of Jaruwatanadilok (2008) and numerical Monte Carlo simulations of Gabriel et al. (2013). The model shows that in places of low chlorophyll concentration, typically deep open oceans, the overa”