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Secrecy Analysis and Error Probability of LIS-Aided Communication Systems under Nakagami-m Fading
Ricardo Coelho Ferreira1, Michelle S P Facina1, Felipe A P de Figueiredo2
1Department of Communications, Faculty of Electrical and Computer Engineering, State University of Campinas, Av. Albert Einstein 400, Campinas 13083-970, SP, Brazil.
Entropy (Basel, Switzerland)
|October 23, 2021
Summary
This study introduces metrics for large intelligent surfaces (LIS) in mobile communications, analyzing spectral efficiency and error probabilities in fading environments. It models LIS phase errors, approximating the channel with Gamma-distributed SNR for performance evaluation.
Area of Science:
- Wireless Communications
- Signal Processing
- Information Theory
Background:
- Large intelligent surfaces (LIS) are emerging as a key technology for enhancing spectral efficiency and signal-to-noise ratio in mobile communication systems.
- Existing performance analyses often simplify channel models and do not fully account for practical LIS imperfections.
Purpose of the Study:
- To develop novel performance metrics for multi-antenna systems augmented by LIS.
- To derive analytical expressions for spectral efficiency, secrecy outage probability, and bit error probability under Nakagami-m fading.
- To investigate the impact of non-ideal LIS phase cancellation on system performance.
Main Methods:
- Modeling the LIS residual phase error using a Von Mises distribution.
- Approximating the resulting communication channel's signal-to-noise ratio (SNR) with a Gamma distribution.
- Analytically deriving the parameters of the Gamma distribution based on system configuration and fading characteristics.
- Evaluating performance metrics including spectral efficiency, secrecy outage probability, and bit error probability.
Main Results:
- The study successfully derives analytical expressions for key performance indicators in LIS-aided systems.
- A Gamma distribution approximation for the SNR is validated, accurately representing channels with LIS non-ideal phase cancellation.
- The derived formulas enable the assessment of the line-of-sight link's influence by adjusting the Nakagami parameter m.
Conclusions:
- The proposed metrics and analytical framework provide a robust method for evaluating LIS-assisted mobile communication systems.
- The Gamma distribution approximation offers a computationally tractable approach for analyzing complex channel conditions introduced by LIS.
- This research facilitates a deeper understanding of how LIS imperfections and direct link strength affect overall system performance and security.
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