A Simulation Framework for RIS Communications

Jonathan W. Browing, Nidhi Simmons, Paschalis C. Sofotasios, Simon L. Cotton, David Morales-Jimenez, Michail Matthaiou, Muhammad Ali Babar Abbasi

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    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 languageBritish English
    Title of host publication2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350311143
    DOIs
    StatePublished - 2023
    Event97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy
    Duration: 20 Jun 202323 Jun 2023

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2023-June
    ISSN (Print)1550-2252

    Conference

    Conference97th IEEE Vehicular Technology Conference, VTC 2023-Spring
    Country/TerritoryItaly
    CityFlorence
    Period20/06/2323/06/23

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