Vertical Underwater Visible Light Communication Links: Channel Modeling and Performance Analysis

Mohammed Elamassie, Murat Uysal

Research output: Contribution to journalArticlepeer-review

Abstract

Underwater visible light communication (UVLC) has been introduced to support emerging high data rate applications such as real-time image and video transmission. Initial works on UVLC build upon the assumption of fixed turbulence strength through the transmission range which can be justified only for horizontal links. In vertical underwater links, the gradient of temperature and salinity changes with depth. This effectively results in ocean stratification where water with different values of salinity and temperature form non-mixing layers. In this paper, we first model the vertical underwater link as a cascaded fading channel where fading coefficients associated with different layers are modeled as independent and non-identical distributed. Based on the cascaded lognormal and Gamma-Gamma distributions respectively for weak and moderate/strong turbulence conditions, we first derive closed-form expressions for the bit error rate (BER) performance of UVLC systems. Then, we analyze the asymptotic BER performance and determine the diversity orders. In addition, we derive closed-form expressions for the average ergodic capacity of underwater cascaded fading channels under consideration. We present simulation results to confirm the analytical findings.

Original languageEnglish (US)
Article number9140399
Pages (from-to)6948-6959
Number of pages12
JournalIEEE Transactions on Wireless Communications
Volume19
Issue number10
DOIs
StatePublished - Oct 2020

Keywords

  • Underwater visible light communication
  • diversity order
  • error rate performance
  • underwater turbulence

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Vertical Underwater Visible Light Communication Links: Channel Modeling and Performance Analysis'. Together they form a unique fingerprint.

Cite this