Secrecy Performance Analysis of IRS-assisted NLoS Wireless Systems Over Nakagami-m Fading Channel
Abstract
Due to increasing security threats in next generation wireless networks and promising potential of intelligent reflecting surface (IRS) in enhancing the wireless system’s performance, this paper focuses on secure transmission of passive and active IRS-assisted wireless communication system in the presence of single and multiple eavesdroppers. We propose optimized passive and active IRS based schemes with perfect phase estimation to mitigate the fading effects of legitimate link over Nakagami-m fading channel. The analytical expression for secrecy outage probability (SOP) is derived. We present the simulation results for secrecy capacity as well as SOP and compare them with different benchmark schemes like (a) random passive IRS, (b) passive IRS with phase error, and (c) without IRS. It is observed that the proposed optimized schemes outperform the different benchmark schemes. In addition, to get more insights, we also demonstrate the impact of varying the number of IRS reflecting elements, Nakagami shape parameter, and target secrecy rate on the secrecy performance of the system. Simulation results validate the derived analytical results.
Keywords
Physical Layer Security, intelligent reflecting surface, Nakagami-m fading, secrecy capacity, secrecy outage probability
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
R. Kaur and B. Bansal, "Secrecy Performance Analysis of IRS-assisted NLoS Wireless Systems Over Nakagami-m Fading Channel," in Journal of Communications Software and Systems, vol. 21, no. 3, pp. 270-282, July 2025, doi: https://doi.org/10.24138/jcomss-2025-0001
@article{kaur2025secrecyperformance,
author = {Ravneet Kaur and Bajrang Bansal},
title = {Secrecy Performance Analysis of IRS-assisted NLoS Wireless Systems Over Nakagami-m Fading Channel},
journal = {Journal of Communications Software and Systems},
month = {7},
year = {2025},
volume = {21},
number = {3},
pages = {270--282},
doi = {https://doi.org/10.24138/jcomss-2025-0001},
url = {https://doi.org/https://doi.org/10.24138/jcomss-2025-0001}
}