Secrecy outage probability and limiting threshold criteria in an optimal SNR regime by maximizing desired transfer rate

Liang Zhou, Amita Nandal, Imran Shafique Ansari, Kemal Polat, Ladislav Polak, Arvind Dhaka, Jialing Zha, Adi Alhudhaif, Fayadh Alenezi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, the optimum secrecy probability has been calculated using a reduction function that optimizes the transfer rate of the user's signal for a given average broadcast power while minimizing the transfer rate of the eavesdropper's signal to ensure safe transmission. In this work, the signal-to-noise ratio (SNR) of the eavesdropper signal and the received signal are accurately estimated using matrix theory. These approximated SNRs have been studied in relation to the outage probability. By making three distinct assumptions about channel correlation, it has been possible to determine the precise secrecy outage probability. In correlated multi-antenna transmit and receive channels, this research investigates the secrecy performance of three popular diversity combining strategies—maximum ratio combining (MRC), selection combining (SC), and equal gain combining (EGC). In this research, we consider a Rayleigh fading channel with overhead communication between the transmitter and recipient. In this research, we also propose a limiting bounds condition to improve the limits on the outage probability for the Rayleigh fading environment using the three diversity combining methods. Our restricting distribution is threshold-based in order to generate precise limits on the probability of secrecy outage. An application case has been presented which discusses the impact of the proposed model for device to device communication application scenario. Our findings demonstrate that channel correlation substantially influences the probability of a secrecy outage.

Original languageEnglish
Article number100789
JournalInternet of Things (The Netherlands)
Volume22
DOIs
StatePublished - Jul 2023

Keywords

  • Channel correlation
  • Diversity
  • Eavesdropper signal
  • Secrecy outage probability
  • Signal-to-noise ratio

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