IEEE Transactions on Communications · 2024 · 13 citations · 49 references
EngineeringSystems EngineeringComputational ElectromagneticsDesign OptimizationOptimizationConformal AntennasGeometric OptimizationReconfigurable AntennasShape OptimizationAntenna Element Shape OptimizationCommunication Performance ModelingConformal Antenna DesignConformal Antenna Geometry OptimizationFull-wave ModelingMutual CouplingMutual Coupling AnalysisMutual Coupling Compensation
This paper presents a theoretical and mathematical framework for the design of a conformal reconfigurable intelligent surface (RIS) that adapts to non-planar geometries, which is a critical advancement for the deployment of RIS on non-planar and irregular surfaces as envisioned in smart radio environments. Previous research focused mainly on the optimization of RISs assuming a predetermined shape, while neglecting the intricate interplay between shape optimization, phase optimization, and mutual coupling effects. Our contribution, the Tailored 3D RIS (T3DRIS) framework, addresses this fundamental problem by integrating the configuration and shape optimization of RISs into a unified model and design framework, thus facilitating the application of RIS technology to a wider spectrum of environmental objects. The mathematical core of T3DRIS is rooted in optimizing the 3D deployment of the unit cells and tuning circuits, aiming at maximizing the communication performance. Through rigorous full-wave simulations and a comprehensive set of numerical analyses, we validate the proposed approach and demonstrate its superior performance and applicability over contemporary designs. This study—the first of its kind—paves the way for a new direction in RIS research, emphasizing the importance of a theoretical and mathematical perspective in tackling the challenges of conformal RISs.
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Marco Di Renzo, Alessio Zappone, Mérouane Debbah et al. · arXiv (Cornell University) · 2020 · 3.1K citations · Full text
Engineering, Computer Engineering, Electrical Engineering +12
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
Marco Di Renzo, Mérouane Debbah, Dinh-Thuy Phan-Huy et al. · EURASIP Journal on Wireless Communications and Networking · 2019 · 1.8K citations · Full text
Engineering, Computer Engineering, Electrical Engineering +12