A simulation framework for RIS communications

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This contribution proposes a simulation framework for quantifying the performance of employed reconfigurable intelligent surface (RIS) based systems to overcome adverse propagation-related effects. The physical model underlying the proposed framework considers the presence of a dominant signal path between the source and RIS, and then between RIS and the destination. The simulation of the time-correlated scattered signal reflected by the illuminated reflective elements is achieved using autoregressive (AR) modeling. As a by-product of our analysis, significant insights are developed which allow for the characterization of the amplitude and phase properties of the received signal, and the associated complex autocorrelation function (ACF) for the product of two Rician channels. Capitalizing on this, we derive the corresponding first and second order statistics, which lead to the development of useful theoretical and practical insights.

Original languageEnglish
Title of host publicationIEEE 97th Vehicular Technology Conference (VTC2023-Spring): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9798350311143
ISBN (Print)9798350311150
Publication statusPublished - 14 Aug 2023
EventIEEE 97st Vehicular Technology Conference 2023-Spring - Florence, Italy
Duration: 21 Jun 202323 Jun 2023

Publication series

NameVehicular Technology Conference (VTC): Proceedings
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465


ConferenceIEEE 97st Vehicular Technology Conference 2023-Spring
Abbreviated titleVTC2023-Spring
Internet address


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