Signal-to-interference-noise-ratio density distribution for UAV-carried IRS-to-6G ground communication
Nnamani, Christantus O. and Anioke, Chidera and Al-Rubaye, Saba and Tsourdos, Antonios (2025) Signal-to-interference-noise-ratio density distribution for UAV-carried IRS-to-6G ground communication. IEEE Access, 13. 49824 - 49835. ISSN 2169-3536 (https://doi.org/10.1109/ACCESS.2025.3549426)
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Abstract
This paper investigates the probability distribution of the signal-to-interference noise ratio (SINR) for a 6G communication system comprising a multi-antenna transmitter, an intelligent reflecting surface (IRS) and a remote receiver station. A common assumption in the literature is that the density distribution function for SINR and signal-to-noise ratio (SNR) of an IRS-to-ground communication follows a Rayleigh and Rician distribution. This assumption is essential as it influences the derivation of the properties of the communication system such as the physical layer security models and the designs of IRS controller units. Therefore, in this paper, we present an analytical derivation for the density distribution functions of the SINR for an IRS-to-6G ground communication ameliorating the typical assumptions in the literature.We demonstrated that the SINR density function of an IRS-to-6G ground communication contains a hypergeometric function. We further applied the derived density distribution function to determine the average secrecy rate for passive eavesdropping.
ORCID iDs
Nnamani, Christantus O.
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Item type: Article ID code: 92448 Dates: DateEvent26 March 2025Published10 March 2025Published Online4 March 2025AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Telecommunication Department: ?? 11038 ?? Depositing user: Pure Administrator Date deposited: 25 Mar 2025 15:53 Last modified: 26 Mar 2025 09:34 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/92448