SLIPT for Underwater Visible Light Communications: Performance Analysis and Optimization

Murat Uysal, Sara Ghasvarianjahromi, Mehdi Karbalayghareh, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Sadiq M. Sait

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we investigate simultaneous lightwave information and power transfer (SLIPT) for underwater visible light communication systems. We consider three SLIPT methods namely time switching (TS), power splitting (PS) and time switching-power splitting (TS-PS) where the splitting/switching factors are defined as optimization parameters. For each of these methods, we derive closed-form expressions for the average harvested energy, bit error rate and spectral efficiency in the presence of underwater turbulence modeled by lognormal statistics. Using these expressions, we determine the optimal splitting factors to maximize the harvested energy while satisfying a given bit error rate value and a given threshold spectral efficiency value. Our results reveal that, if not optimized, SLIPT methods under consideration are outperformed by the simple AC-DC separation (ADS) method which provides the largest harvested energy versus spectral efficiency (HE-SE) region. Optimization of splitting/switching factors extends the HE-SE regions; hence, optimized versions of TS, PS and TS-PS methods are able to significantly outperform ADS for most cases. We further investigate the effect of various channel and system parameters such as water type, turbulence level, beam divergence, receiver aperture size on the harvested energy and quantify the improvements in battery lifetime through the use of SLIPT methods.

Original languageEnglish (US)
Pages (from-to)6715-6728
Number of pages14
JournalIEEE Transactions on Wireless Communications
Volume20
Issue number10
DOIs
StatePublished - Oct 1 2021

Keywords

  • Underwater visible light communications
  • energy harvesting
  • simultaneous lightwave and power transfer (SLIPT)
  • underwater turbulence

ASJC Scopus subject areas

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

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