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This thesis explores Hybrid Reconfigurable Intelligent Surfaces (HRIS) to overcome the sensing limitations of fully passive RIS in 6G networks. By integrating active sensing elements and efficient Angle of Arrival (AoA) estimation techniques, HRIS enables autonomous, high-precision localization while minimizing hardware complexity and cost.

This thesis explores Hybrid Reconfigurable Intelligent Surfaces (HRIS) to overcome the sensing limitations of fully passive RIS in 6G networks. By integrating active sensing elements and efficient Angle of Arrival (AoA) estimation techniques, HRIS enables autonomous, high-precision localization while minimizing hardware complexity and cost.

RIS ENABLED POSITIONING SYSTEMS

PIGNATIELLO, MICHELE PIO
2024/2025

Abstract

This thesis explores Hybrid Reconfigurable Intelligent Surfaces (HRIS) to overcome the sensing limitations of fully passive RIS in 6G networks. By integrating active sensing elements and efficient Angle of Arrival (AoA) estimation techniques, HRIS enables autonomous, high-precision localization while minimizing hardware complexity and cost.
2024
RIS ENABLED POSITIONING SYSTEMS
This thesis explores Hybrid Reconfigurable Intelligent Surfaces (HRIS) to overcome the sensing limitations of fully passive RIS in 6G networks. By integrating active sensing elements and efficient Angle of Arrival (AoA) estimation techniques, HRIS enables autonomous, high-precision localization while minimizing hardware complexity and cost.
RIS
Positioning
Lauree magistrali a ciclo unico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14253/87052