Impact of Phase Errors on Near-Field RIS Performance
Analysis
This paper addresses a critical practical issue in the deployment of Reconfigurable Intelligent Surfaces (RISs): the impact of phase errors on the performance of near-field RISs. It moves beyond simplistic models by considering the interplay between phase errors and amplitude variations, a more realistic representation of real-world RIS behavior. The introduction of the Remaining Power (RP) metric and the derivation of bounds on spectral efficiency are significant contributions, providing tools for analyzing and optimizing RIS performance in the presence of imperfections. The paper highlights the importance of accounting for phase errors in RIS design to avoid overestimation of performance gains and to bridge the gap between theoretical predictions and experimental results.
Key Takeaways
- •The paper investigates the impact of phase errors on the performance of near-field RISs.
- •It introduces the Remaining Power (RP) metric to quantify the power preserved in reflected signals.
- •It derives bounds on spectral efficiency considering phase errors and amplitude uncertainties.
- •The study reveals that neglecting phase errors in amplitude analysis overestimates RIS performance.
- •The findings highlight the importance of accurate modeling of phase errors for realistic RIS performance evaluation.
“Neglecting the PEs in the PDAs leads to an overestimation of the RIS performance gain, explaining the discrepancies between theoretical and measured results.”