Floquet angular modulation for 6G systems

This paper introduces a computationally efficient method for angular modulation analysis in 5G/6G systems, significantly reducing numerical complexity and computation time compared to conventional techniques. Inspired by optical spectroscopy, we present novel approaches tailored for 5G/6G applications like reconfigurable intelligent surfaces (RIS) and metasurfaces. Unlike traditional direct methods (Fourier, Jones matrix, Bessel series, orbital angular momentum), our technique employs a modified Fourier method combined with Floquet analysis.

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Publication Details

Journal
Scientific Reports
Published
2026-03-03
DOI
https://doi.org/10.1038/s41598-026-42429-8
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Floquet angular modulation for 6G systems

Bilel Hamdi, Ignacio Llamas‐Garro, Radhoine Aloui, Adel Aldalbahi et al.
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Advanced Wireless Communication Technologies
article

Floquet angular modulation for 6G systems

Bilel Hamdi, Ignacio Llamas‐Garro, Radhoine Aloui, Adel Aldalbahi, Sofien Mhatli, Taoufik Aguili, Ahmed Siala, Tijeni Delleji
article en

Abstract

This paper introduces a computationally efficient method for angular modulation analysis in 5G/6G systems, significantly reducing numerical complexity and computation time compared to conventional techniques. Inspired by optical spectroscopy, we present novel approaches tailored for 5G/6G applications like reconfigurable intelligent surfaces (RIS) and metasurfaces. Unlike traditional direct methods (Fourier, Jones matrix, Bessel series, orbital angular momentum), our technique employs a modified Fourier method combined with Floquet analysis.

Scientific ReportsVol. 16(1)
Tunisia Polytechnic School (TN), Centre Tecnologic de Telecomunicacions de Catalunya (ES), National Engineering School of Tunis (TN), Military Hospital of Tunis (TN), King Faisal University (SA), University of Jendouba (TN), Tunis El Manar University (TN)
Université du Québec en Outaouais, King Faisal University
Openalex Percentile: Top 39%
Advanced Wireless Communication Technologies
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