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Intelligent Omni-Surfaces (IOSs) for the MIMO Broadcast Channel
Abdelhamed Mohamed, Nemanja Stefan Perovic, Marco Di Renzo

Intelligent Omni-Surfaces (IOSs) for the MIMO Broadcast Channel

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

In this paper, we consider intelligent omni-surfaces (IOSs), which are capable of simultaneously reflecting and refracting electromagnetic waves. We focus our attention on the multiple-input multiple-output (MIMO) broadcast channel, and we introduce an algorithm for jointly optimizing the covariance matrix at the base station, the matrix of reflection and transmission coefficients at the IOS, and the amount of power that is reflected and refracted from the IOS. The distinguishable feature of this work lies in taking into account that the reflection and transmission coefficients of an IOS are tightly coupled. Simulation results are illustrated to show the convergence of the proposed algorithm and the benefits of using surfaces with simultaneous reflection and refraction capabilities.

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Document Information

Document Title Intelligent Omni-Surfaces (IOSs) for the MIMO Broadcast Channel
Author / Organization Abdelhamed Mohamed, Nemanja Stefan Perovic, Marco Di Renzo
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-77228
Original Source Link Visit Source Page on hal.science »