2017
DOI: 10.1364/josaa.34.001187
|View full text |Cite|
|
Sign up to set email alerts
|

Modeling turbulence in underwater wireless optical communications based on Monte Carlo simulation

Abstract: Turbulence affects the performance of underwater wireless optical communications (UWOC). Although multiple scattering and absorption have been previously investigated by means of physical simulation models, still a physical simulation model is needed for UWOC with turbulence. In this paper, we propose a Monte Carlo simulation model for UWOC in turbulent oceanic clear water, which is far less computationally intensive than approaches based on computational fluid dynamics. The model is based on the variation of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
29
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4
2
1

Relationship

2
5

Authors

Journals

citations
Cited by 58 publications
(30 citation statements)
references
References 22 publications
1
29
0
Order By: Relevance
“…5 compares the measured data with the lognormal distribution and the simulated results using the model in [22] for all states for a 12 m link span. ∆z and Ri are the width of consecutive turbulent layers and the radius of curved boundaries as defined in [22]. All the key system model parameters are shown in Table 2.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…5 compares the measured data with the lognormal distribution and the simulated results using the model in [22] for all states for a 12 m link span. ∆z and Ri are the width of consecutive turbulent layers and the radius of curved boundaries as defined in [22]. All the key system model parameters are shown in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…The refractive index variation Δn is one of the important factor influencing the turbulence strength as in the model reported in [22]. By adapting the model of [22] to the four turbulence states, Δn values are 1e-6, 4.4e-6, 7e-6 and 308e-6 for the states of 1, 2, 3 and 4, respectively. Note that, for the state 4 turbulence is due to both high T and Q, thus the highest Δn variation was observed.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Note that, we have used the system model given in [11], where all considered noise sources are described in detail. In this work, we consider the link performance under weak turbulence, which is modelled as lognormal distribution [14], [15].…”
Section: System Modelmentioning
confidence: 99%