Advanced Underwater Wireless Optical Communication System Assisted by Deep Echo State Network

Kexin Wang, Yihong Gao, Mauro Dragone, Yvan Petillot, Xu Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The underwater wireless sensor network (UWSN) has been widely employed in scientific and commercial applications. The underwater wireless optical communication (UWOC) provides high transmission data rate, high security, and low latency communication to link the nodes in a UWSN. However, the link length of the UWOC systems is severely affected by large absorption and scattering losses that reduce the received optical signal-to-noise ratio (OSNR). The advanced signal processing technologies are hereby highly desired in UWOC systems to improve the electrical signal-to-noise (SNR) from the optical signal. In this paper, for the first time we have applied the Deep Echo State Network (DeepESN) in high-speed UWOC system to assist signal processing for both PAM and QAM-OFDM signals. We have experimentally verified the effectiveness of DeepESN in UWOC systems and demonstrated over 40.5 meters error-free underwater transmission with 100-167 Mbps data-rate.
Original languageEnglish
Title of host publication2022 Asia Communications and Photonics Conference (ACP)
PublisherIEEE
Pages710-713
Number of pages4
ISBN (Electronic)9781665481557
DOIs
Publication statusPublished - 10 Apr 2023

Keywords

  • Deep echo state network
  • Digital signal processing
  • Machine learning
  • Underwater wireless optical communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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