Electromagnetically Consistent Optimization Algorithms for the Global Design of RIS

M. W. Shabir; M. Di Renzo; A. Zappone; M. Debbah

doi:10.1109/LWC.2025.3529778

Electromagnetically Consistent Optimization Algorithms for the Global Design of RIS

M. W. Shabir
, M. Di Renzo
, A. Zappone
, M. Debbah

Computer & Communication Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We model a reconfigurable intelligent surface as an inhomogeneous boundary of surface impedance, and consider various optimization problems that offer different tradeoffs in terms of performance and implementation complexity. The considered non-convex optimization problems are reformulated as a sequence of approximating linear quadratically constrained or semidefinite programs, which are proved to have a polynomial complexity and to converge monotonically in the objective value.

Original language	British English
Journal	IEEE Wireless Communications Letters
DOIs	https://doi.org/10.1109/LWC.2025.3529778
State	Accepted/In press - 2025

Keywords

optimization
Reconfigurable intelligent surface

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10.1109/LWC.2025.3529778

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title = "Electromagnetically Consistent Optimization Algorithms for the Global Design of RIS",

abstract = "We model a reconfigurable intelligent surface as an inhomogeneous boundary of surface impedance, and consider various optimization problems that offer different tradeoffs in terms of performance and implementation complexity. The considered non-convex optimization problems are reformulated as a sequence of approximating linear quadratically constrained or semidefinite programs, which are proved to have a polynomial complexity and to converge monotonically in the objective value.",

keywords = "optimization, Reconfigurable intelligent surface",

author = "Shabir, \{M. W.\} and \{Di Renzo\}, M. and A. Zappone and M. Debbah",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2025",

doi = "10.1109/LWC.2025.3529778",

language = "British English",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

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AU - Shabir, M. W.

AU - Di Renzo, M.

AU - Zappone, A.

AU - Debbah, M.

PY - 2025

Y1 - 2025

N2 - We model a reconfigurable intelligent surface as an inhomogeneous boundary of surface impedance, and consider various optimization problems that offer different tradeoffs in terms of performance and implementation complexity. The considered non-convex optimization problems are reformulated as a sequence of approximating linear quadratically constrained or semidefinite programs, which are proved to have a polynomial complexity and to converge monotonically in the objective value.

AB - We model a reconfigurable intelligent surface as an inhomogeneous boundary of surface impedance, and consider various optimization problems that offer different tradeoffs in terms of performance and implementation complexity. The considered non-convex optimization problems are reformulated as a sequence of approximating linear quadratically constrained or semidefinite programs, which are proved to have a polynomial complexity and to converge monotonically in the objective value.

KW - optimization

KW - Reconfigurable intelligent surface

UR - https://www.scopus.com/pages/publications/85215420696

U2 - 10.1109/LWC.2025.3529778

DO - 10.1109/LWC.2025.3529778

M3 - Article

AN - SCOPUS:85215420696

SN - 2162-2337

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

ER -

Electromagnetically Consistent Optimization Algorithms for the Global Design of RIS

Abstract

Keywords

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