Optical Focusing-based Adaptive Modulation for Air-to-Underwater Optoacoustic Communication

Files

Optical_Focusing-based_Adaptive_Modulation_for_Air-to-Underwater_Optoacoustic_Communication.pdf (3.15 MB)

Links to Files

https://ieeexplore.ieee.org/abstract/document/10430117

Permanent Link

https://doi.org/10.1109/JSEN.2023.3340092
 http://hdl.handle.net/11603/31755

Collections

UMBC Faculty Collection
UMBC Computer Science and Electrical Engineering Department

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0002-3196-4051
 https://orcid.org/0000-0003-3865-9217
 https://orcid.org/0000-0001-9613-6110

Date

2024-02-08

Type of Work

journal articles
postprints
Text

Department

Program

Citation of Original Publication

Mahmud, Muntasir, Mohamed Younis, Fow-Sen Choa, and Akram Ahmed. ?Optical Focusing-Based Adaptive Modulation for Air-to-Underwater Optoacoustic Communication.? IEEE, 2024, 1?1. https://doi.org/10.1109/JSEN.2023.3340092.

Rights

2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Subjects

Acoustics
Cross-medium communication
Demodulation
Laser pulses
Lasers
Machine learning
Modulation
Nonlinear optics
Optical transmitters
Optoacoustic
Photoacoustic
Power efficiency

Abstract

Nonlinear optoacoustics enable effective communication across the air-water interface. However, the requirement of a high-power laser and the vapor cloud buildup can limit the power efficiency and data rate. Thus, a proper modulation and encoding scheme is necessary. This paper tackles this issue by presenting an Optical Focusing-based Adaptive Modulation (OFAM) technique that can dynamically control the underwater acoustic source (plasma) and acoustic pressure. Specifically, the paper describes two variants of OFAM for a single laser transmitter with stationary focusing (OFAM-1D) and dynamic focusing (OFAM-3D). The data rate of OFAM-1D and OFAM-3D is approximately 6 times and 4.4 times higher than peak detection based on-off keying (PDOOK). Furthermore, both techniques are 137% more power efficient than PDOOK. Studying the bit error rate (BER) in the presence of ambient underwater noises for different node positions has indicated that OFAM can achieve low BER even at a 300 m depth for 50 mJ and 60 mJ laser pulse energy. Moreover, machine learning techniques have been leveraged in the demodulation process for increased robustness. Specifically, the Random Forest model could yield up to 94.75% demodulation accuracy. Our results indicate that OFAM can lead to a new paradigm of air to underwater wireless communication.