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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
Summary
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.
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.
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