Physical Layer Security of Large Reflecting Surface Aided Communications With Phase Errors

Abstract

The physical layer security (PLS) performance of a wireless communication link through a large reflecting surface (LRS) with phase errors is analyzed. Leveraging recent results that express the LRSbased composite channel as an equivalent scalar fading channel, we show that the eavesdropper's link is Rayleigh distributed and independent of the legitimate link. The different scaling laws of the legitimate and eavesdroppers signal-to-noise ratios with the number of reflecting elements, and the reasonably good performance even in the case of coarse phase quantization, show the great potential of LRS-aided communications to enhance PLS in practical wireless set-ups.

Physical Layer Security of RIS-Assisted Communications under Electromagnetic Interference

“…With regard to the case of Eve, she cannot benefit from any sort of passive beamforming gain, since the RIS is optimized only taking into account Bob's CSI. Thus, in the absence of EMI, Eve's SNR scales with N (as stated in [7]). When EMI affects the system, the aperture gain is also cancelled out and hence Eve's SNR tends to saturate (i.e., does not grow with N ).…”

“…In this case, we claim that X E can be approximated by an exponential RV with parameter θ In the SISO case Y E is exponentially distributed for N ↑ [2], and independent of Y B [7]. This also applies to the MISO case with MRT beamforming based on Bob's CSI using the same rationale as in [15].…”

“…One of the potential use cases of RIS is physical layer security (PLS) [5], as a way to remarkably improve network security by exploiting the inherent randomness (e.g., noise, fading, interference) [6] of the wireless propagation medium. A large body of research has been motivated by the potential of integrating both RIS and PLS to enable secure and intelligent radio environments [7][8][9][10]. However, even though the effect of the EMI present in any wireless environment is known to affect RIS-aided communications [4], its effects in physical layer security have not been analyzed yet.…”

Capacity Analysis of IRS-Based UAV Communications With Imperfect Phase Compensation

“…However, ideal phase compensation is practically infeasible due to the phase estimation and quantization errors. Consequently, investigating the scenario of non-ideal phase compensation is necessary to explore the performance limits of IRS based communication systems [10]- [12]. In [10], the capacity limit of multiple-input multiple-output (MIMO) IRS systems is characterized by optimizing the reflection coefficients matrix of the IRS system aiming at maximizing the system capacity.…”

Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation

“…However, ideal phase compensation is practically infeasible due to the phase estimation and quantization errors. Consequently, investigating the scenario of non-ideal phase compensation is necessary to explore the performance limits of IRS based communication systems [8]- [10]. In [8], the capacity limit of multiple-input multipleoutput (MIMO) IRS systems is characterized by optimizing the reflection coefficients matrix of the IRS system aiming at maximizing the system capacity.…”