Enhanced Fully Generalized Spatial Modulation for the Internet of Underwater Things

Area of Science:

• Underwater communication systems
• Wireless sensor networks
• Signal processing

Background:

• Internet of Underwater Things (IoUT) faces challenges like limited power, signal attenuation, and low bandwidth.
• Existing communication schemes struggle to balance data rate, energy efficiency, and receiver complexity.

Purpose of the Study:

• To propose a novel energy-efficient communication scheme, Enhanced Fully Generalized Spatial Modulation (EFGSM), for underwater acoustic channels.
• To enhance data rate and power saving in IoUT without increasing receiver complexity.

Main Methods:

• Developed EFGSM by combining multiple signal constellations with the number of active antennas from Fully Generalized Spatial Modulation (FGSM).
• Utilized primary and secondary constellations derived from geometric interpolation to encode information.
• Evaluated performance using Monte Carlo simulations over an underwater acoustic channel.

Main Results:

• EFGSM demonstrates superior energy efficiency compared to conventional spatial modulation, generalized spatial modulation, and FGSM.
• The scheme achieves higher data rates and improved power saving by encoding bits using both active antenna indexes and signal constellation types.
• Simulation results confirm significant advantages in energy efficiency, spectral efficiency, and average bit error rate (ABER).

Conclusions:

• EFGSM offers a promising solution for high-data-rate, energy-efficient underwater communication.
• The proposed method effectively addresses key challenges in IoUT, enhancing overall system performance.
• EFGSM provides a robust and efficient communication strategy for underwater acoustic environments.