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A Thermodynamic Study on Information Power in Communication Systems.

Litao Yan1, Xiaohu Ge1

  • 1School of Electronic Information and Communications, Huazhong University of Science and Technology, International Joint Research Center of Green Communications and Networking, Wuhan 430074, China.

Entropy (Basel, Switzerland)
|August 29, 2024
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Summary
This summary is machine-generated.

This study proves thermodynamic cost equals information transmitted, introducing a communication heat engine. This engine harnesses information to perform work, linking communication systems with thermodynamics.

Keywords:
MIMOenergy transmissionentropy productionheat engineinformation transmission

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Area of Science:

  • Thermodynamics
  • Information Theory
  • Communication Systems

Background:

  • Information theory, pioneered by Shannon, lacks a physical understanding of information's energetic nature.
  • Information processing inherently involves energy dissipation, yet communication systems can leverage information for work.

Purpose of the Study:

  • To establish a fundamental link between thermodynamic cost and information transmission.
  • To propose and analyze a novel communication heat engine model.

Main Methods:

  • Proving that thermodynamic cost (entropy production) is at least equal to transmitted information.
  • Developing a theoretical model of a communication heat engine.

Main Results:

  • The thermodynamic cost of communication is proven to be a lower bound equal to the information transmitted.
  • A communication heat engine model is proposed, capable of extracting work from a heat bath using information transmission.
  • Information power increases with communication channels, while energy efficiency shows a threshold-dependent behavior.

Conclusions:

  • The study provides a thermodynamic perspective on classical communication systems.
  • The proposed communication heat engine integrates energy and information manipulation for parallel transmission.
  • This work offers a new framework for understanding the energetic implications of information processing.