Reconfigurable Intelligent Surfaces – Design & Optimization based on Electromagnetic-Consistent Modeling

• Auteur / Autrice : Juan carlos Ruiz sicilia
• Direction : Merouane Debbah, Marco Di renzo
• Type : Projet de thèse
• Discipline(s) : Sciences du traitement du signal et des images
• Date : Inscription en doctorat le 01/03/2022
• Etablissement(s) : université Paris-Saclay
• Ecole(s) doctorale(s) : École doctorale Sciences et technologies de l'information et de la communication
• Partenaire(s) de recherche : Laboratoire : Laboratoire des Signaux et Systèmes
• Partenaire(s) de recherche : Equipe de recherche : Télécoms et Réseaux
• Partenaire(s) de recherche : référent : CentraleSupélec (2015-....)

Mots clés

Mots clés libres

Ris

Electromagnetic

Optimization

Résumé

Reconfigurable intelligent surfaces (RISs) have recently emerged as the new wireless communication research frontier with the goal of realizing smart and reconfigurable radio propagation environments via passive and tunable signal transformations. Featured by orders of magnitude lower hardware and energy cost than traditional active antenna-arrays and yet superior performance, RISs are the new driving technology for future wireless networks, especially for enabling them to migrate to higher frequency bands. RISs have the inherent potential of fundamentally transforming the current wireless network with active nodes solely into a new hybrid network comprising active and passive components co-working in an intelligent way, so as to achieve a sustainable capacity growth with a low and affordable cost and power consumption. Therefore, RISs have the potential to change how wireless networks are currently designed, usher in that hoped-for wireless future, and are regarded as an enabling technology for realizing the emerging concept of smart radio environments (SREs). RIS-assisted SREs are a multidisciplinary research endeavor but are not well-understood. Motivated by these considerations, the main target of this 3-year Ph.D. project is to develop an analytical communication model for metamaterial-based RIS that has its foundation on the laws of physics and electromagnetisms and that is suitable for unveiling the fundamental performance limits and for optimizing RIS-assisted wireless communication networks.