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Cognitive Interference Cancellation with Digital Channelizer for Satellite Communication.

Byounghak Kim1, Heejung Yu2, Song Noh3

  • 1Electronics and Telecommunications Research Institute, Daejeon, Korea.

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Summary

Satellite networks enhance the Internet of Things (IoT) by providing global coverage. This study introduces a cognitive interference cancellation method for digital channelizers, improving detection performance for reliable satellite IoT communication.

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Telecommunications

Background:

  • Internet of Things (IoT) requires extensive radio transmission coverage for smart societies.
  • Existing IoT solutions lack sufficient coverage for widespread device deployment.
  • Satellite networks offer a viable solution for global-scaled IoT with wide cell coverage.

Purpose of the Study:

  • To develop a cognitive interference cancellation technique for digital channelizers in satellite communication.
  • To improve the detection and omission of interference in satellite-based IoT systems.
  • To analyze the performance of the proposed interference detection methods.

Main Methods:

  • Utilizing inherent properties of digital channelizers for cognitive interference detection.
  • Implementing a simple energy detection method and a modified, improved version.
  • Exploiting the Fast Fourier Transform (FFT) algorithm in the modified detection method to enhance performance.
  • Analyzing detection probabilities, including false alarm and detection rates.

Main Results:

  • The modified interference detection method reduces the number of signal blocks needed for target performance.
  • Improved detection performance is achieved with the same number of signal blocks.
  • Analysis of detection performance metrics (false alarm and detection probabilities) is validated numerically.
  • Interference below a specific threshold does not necessitate cancellation.

Conclusions:

  • The proposed cognitive interference cancellation method effectively addresses interference in satellite IoT systems.
  • The improved detection technique enhances efficiency by reducing computational requirements.
  • The study validates the performance and practical applicability of the method for reliable global IoT communication.