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Real-Time Adaptive Modulation Schemes for Underwater Acoustic OFDM Communication.

Suchi Barua¹, Yue Rong¹, Sven Nordholm¹

¹School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), Faculty of Science and Engineering, Curtin University, Bentley, WA 6102, Australia.

Sensors (Basel, Switzerland)

|May 20, 2022

Summary

This summary is machine-generated.

This study presents an adaptive underwater acoustic (UA) communication system using orthogonal frequency-division multiplexing (OFDM). The system enhances data rates and reliability in challenging, variable UA channels by adaptively adjusting parameters.

Keywords:

CompactDAQ LabVIEW adaptive modulation orthogonal frequency-division multiplexing (OFDM)time-varying channel underwater acoustic communication

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Area of Science:

Underwater Acoustic (UA) Communication
Signal Processing
Adaptive Systems

Background:

Underwater acoustic channels are characterized by rapid variations and environmental factors, posing challenges for high data rate communication.
Existing systems struggle with the dynamic nature of UA channels, necessitating self-adaptive solutions for consistent performance.
Adaptive modulation is crucial for improving efficiency in underwater acoustic (UA) communication systems.

Purpose of the Study:

To develop a real-time, self-adaptive orthogonal frequency-division multiplexing (OFDM) system for underwater acoustic (UA) communication.
To enhance communication reliability, guarantee continuous connectivity, and boost data rates in non-stationary UA environments.
To investigate the use of received Signal-to-Noise Ratio (SNR) as a performance metric for adaptive parameter selection.

Main Methods:

Implementation of a real-time adaptive UA communication system using National Instruments (NI) LabVIEW software and NI CompactDAQ hardware.
Development of adaptive modulation schemes that dynamically select subcarriers, modulation size, and power allocation.
Utilizing received SNR to inform adaptive transmission parameter adjustments sent back to the transmitter.

Main Results:

The proposed adaptive UA OFDM system demonstrated enhanced reliability and data rates in experiments.
Experimental results in the Canning River, Western Australia, validated the system's performance.
The adaptive scheme confirmed its superiority over conventional methods in non-stationary UA environments.

Conclusions:

The developed adaptive UA OFDM system effectively addresses the challenges of time-varying underwater acoustic channels.
Adaptive modulation, parameter selection, and power allocation are key to improving UA communication performance.
The system offers a robust solution for reliable and high-speed underwater data transmission.