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Optimization of Covert Communication in Multi-Sensor Asymmetric Noise Systems.

Sen Qiao1, Ruizhi Zhu1, Xiaopeng Ji1

  • 1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Sensors (Basel, Switzerland)
|February 10, 2024
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Summary
This summary is machine-generated.

This study optimizes wireless covert communication in asymmetric noise by analyzing Kullback-Leibler divergence and mutual information. Phase angle selection is crucial for enhancing covertness and transmission rates in these complex systems.

Keywords:
BPSKTaylor series expansionasymmetric noisecovert communication

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Area of Science:

  • Wireless communication
  • Information theory
  • Signal processing

Background:

  • Covert communication systems face challenges in noisy environments.
  • Asymmetric noise conditions complicate the balance between security and data rate.
  • Existing methods may not sufficiently address the nuances of multi-sensor covert transmissions.

Purpose of the Study:

  • To investigate wireless covert communication under multi-sensor asymmetric noise.
  • To develop an optimization method for amplitude gain and phase angles.
  • To enhance both covertness and transmission rates.

Main Methods:

  • Utilizing Kullback-Leibler (KL) divergence as the covertness metric.
  • Employing mutual information to quantify the transmission rate.
  • Applying Taylor series expansion for accurate approximation of KL divergence and mutual information.
  • Deriving analytical expressions for optimization.

Main Results:

  • Analytical expressions for KL divergence and mutual information were derived.
  • Optimization of amplitude gain and phase angles based on derived expressions.
  • Demonstrated the critical role of phase angle selection in asymmetric noise scenarios.
  • Proposed an effective optimization method for transmission parameters.

Conclusions:

  • The proposed method effectively optimizes amplitude gain and phase angles for covert communication in asymmetric noise.
  • Numerical results validate the superiority of the developed approach.
  • Phase angle optimization is a key factor for secure and efficient wireless communication.