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Semantic Information Recovery in Wireless Networks.

Edgar Beck1, Carsten Bockelmann1, Armin Dekorsy1

  • 1Department of Communications Engineering, University of Bremen, 28359 Bremen, Germany.

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Summary
This summary is machine-generated.

Machine learning enhances semantic communication by transmitting message meaning, not exact data. This approach significantly improves efficiency and reduces data transmission needs in wireless systems.

Keywords:
goal-oriented communicationinfomaxinformation bottleneckmachine learningsemantic communicationtask-oriented communicationwireless communicationswireless networks

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Area of Science:

  • Wireless Communications
  • Information Theory
  • Machine Learning

Background:

  • The concept of semantic communication, focusing on transmitting message meaning, has resurfaced due to Machine Learning (ML) advancements.
  • Unlike Shannon's paradigm, semantic communication aims for meaning preservation over exact data transmission, enabling potential information rate savings.

Purpose of the Study:

  • To extend semantic communication modeling to the entire communications Markov chain.
  • To define and address the task of data-reduced, reliable message transmission for optimal semantic preservation.

Main Methods:

  • Modeling semantics using hidden random variables within a communications Markov chain.
  • Formulating the semantic communication task as an end-to-end Information Bottleneck problem.
  • Proposing and utilizing the ML-based semantic communication system, SINFONY, for distributed multipoint scenarios.

Main Results:

  • SINFONY successfully recovers semantics in a distributed multipoint setting, processing images as message examples.
  • Numerical results demonstrate a significant rate-normalized SNR improvement of up to 20 dB compared to classical communication systems.

Conclusions:

  • The proposed Information Bottleneck approach effectively enables compression while preserving essential semantic information.
  • ML-driven semantic communication systems like SINFONY offer substantial performance gains in wireless communication efficiency.