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Cognitive information measurements: A new perspective.

Min Chen1, Yixue Hao1, Hamid Gharavi2

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This study introduces cognitive information value, a new metric for measuring information popularity that changes during transmission. This cognitive approach enhances modern communication systems, including 5G networks.

Keywords:
5G networkCognitive computingInformation theory

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Area of Science:

  • Information theory
  • Cognitive computing
  • Communication systems engineering

Background:

  • Traditional information theory assumes constant information value during transmission.
  • Modern systems embed cognitive links, necessitating dynamic value measurement.
  • Shannon information theory focuses on channel capacity, not evolving information worth.

Purpose of the Study:

  • Introduce the concept and measurement of cognitive information value.
  • Develop a new metric that accounts for the changing nature of information.
  • Enhance the performance of modern communication networks by incorporating cognitive aspects.

Main Methods:

  • Described characteristics of cognitive information.
  • Introduced cognitive information concept for measuring information popularity.
  • Utilized the mailbox principle for information encapsulation and continuous cognition during transmission.
  • Established a cognitive communication system integrating traditional and cognitive computing.

Main Results:

  • Demonstrated a novel method for measuring cognitive information value.
  • Successfully implemented a cognitive communication system.
  • Experimental results confirmed the positive impact of cognitive value on 5G network performance.

Conclusions:

  • Cognitive information value offers a more accurate measure for modern communication.
  • The proposed system effectively integrates cognitive computing into communication networks.
  • Incorporating cognitive value significantly improves 5G network performance.