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We study the performance of a phase-noise impaired double reconfigurableintelligent surface (RIS)-aided multiuser (MU) multiple-input single-output(MISO) system under spatial correlation at both RISs and base-station (BS). Thedownlink achievable rate is derived in closed-form under maximum ratiotransmission (MRT) precoding. In addition, we obtain the optimal phase-shiftdesign at both RISs in closed-form for the considered channel and phase-noisemodels. Numerical results validate the analytical expressions, and highlightthe effects of different system parameters on the achievable rate. Our analysisshows that phase-noise can severely degrade the performance when users do nothave direct links to both RISs, and can only be served via thedouble-reflection link. Also, we show that high spatial correlation at RISs isessential for high achievable rates.

Impact of Phase-Noise and Spatial Correlation on Double-RIS-Assisted Multiuser MISO Networks