Physical Layer Security Enhancement With Reconfigurable Intelligent Surface-Aided Networks

Reconfigurable intelligent surface (RIS)-aided wireless communications have drawn significant attention recently. We study the physical layer security of downlink RIS-aided transmission framework for randomly located users in presence a multi-antenna eavesdropper. To show advantages networks, we consider two practical scenarios: Communication with and without RIS. In both cases, apply stochastic geometry theory to derive exact probability density function (PDF) cumulative distribution (CDF) received signal-to-interference-plus-noise ratio. Furthermore, obtained PDF CDF are exploited evaluate important performance communication including secrecy outage probability, nonzero capacity, average rate. Monte-Carlo simulations subsequently conducted validate accuracy our analytical results. Compared traditional MIMO systems, system offers better terms security. particular, is improved significantly by increasing number reflecting elements equipped However, adopting RIS small cannot improve when path loss NLoS small.