Open AccessThe Effect of Medium Inhomogeneity in Modeling Underwater Optical Wireless Communication
Author(s) -
Safiy Sabril,
Faezah Jasman,
Wan Hafiza Wan Hassan,
Zaiton Abdul Mutalip,
Rosmiwati MohdMokhtar,
Z. Hassan
Publication year - 2021
Publication title -
journal of communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.185
H-Index - 35
eISSN - 2374-4367
pISSN - 1796-2021
DOI - 10.12720/jcm.16.9.386-393
Subject(s) - bandwidth (computing) , underwater , channel (broadcasting) , monte carlo method , optical wireless , delay spread , wireless , computer science , optics , physics , computational physics , multipath propagation , telecommunications , geology , mathematics , statistics , oceanography
This paper introduces a stratified approach to modeling underwater optical wireless communication (UOWC). The influence of medium inhomogeneity, which many researchers ignore, was considered in modeling the UOWC channel to achieve an accurate model. The Monte Carlo technique to simulate the photon propagation was adapted to include medium inhomogeneity to estimate the received power, channel bandwidth, and delay spread of the proposed model. We use the depth-dependent chlorophyll profile that was established in Kameda empirical model to constitute the medium inhomogeneity. The empirical model used 0.5 mg m-3 and 2 mg m-3 of surface chlorophyll concentration to represent clear and coastal water. Besides, the comparison between collimated and diffused links was also studied to highlight the effect of the medium inhomogeneity on both links. Our findings indicate that the homogeneous model produces an underestimation result compared to the stratified model. The stratified model estimated significant increases in received power, lower delay spread, and higher bandwidth, which indicates the medium inhomogeneity is important for a realistic channel model.