3 citations · 4 across the 8 of their papers we have counts for
10 papers
Site-Specific MIMO Channel Generation via Diffusion and Flow Matching: Fidelity, Efficiency, and Downstream Utility
Sina Beyraghi, Masoud Sadeghian, Firdous Bin Ismail +3
This paper explores the use of generative models to synthesize high-quality, site-specific multiple-input multiple-output (MIMO) channel data, addressing the high cost of the exten…
Data-Driven Deployment of Reconfigurable Intelligent Surfaces in Cellular Networks
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci +2
This paper presents a fully automated, data-driven framework for the large-scale deployment of reconfigurable intelligent surfaces (RISs) in cellular networks. Leveraging physicall…
Site-Specific RIS Deployment in Cellular Networks via Calibrated Ray Tracing
Sina Beyraghi, Javad Shabanpour, Giovanni Geraci +2
This work introduces a fully-automated RIS deployment strategy validated through a digital twin, powered by Sionna ray tracing, of a UK city. On a scene calibrated with measured da…
Evaluating the Performance of Reconfigurable Intelligent Base Stations through Ray Tracing
Sina Beyraghi, Giovanni Interdonato, Giovanni Geraci +2
Massive multiple-input multiple-output (mMIMO) is a key capacity-boosting technology in 5G wireless systems. To reduce the number of radio frequency (RF) chains needed in such syst…
Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms
Naser Omrani, Fardin Ghorbani, Sina Beyraghi +2
In this paper, we present a novel approach for the design of leaky-wave holographic antennas that generates OAM-carrying electromagnetic waves by combining Flat Optics (FO) and mac…
A deep learning approach for inverse design of the metasurface for dual-polarized waves
Fardin Ghorbani, Javad Shabanpour, Sina Beyraghi +3
Compared to the conventional metasurface design, machine learning-based methods have recently created an inspiring platform for an inverse realization of the metasurfaces. Here, we…
Deep neural network-based automatic metasurface design with a wide frequency range
Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour +3
Beyond the scope of conventional metasurface which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an…
Implementation of conformal digital metasurfaces for THz polarimetric sensing
Javad Shabanpour, Sina Beyraghi, Fardin Ghorbani +1
Monitoring and controlling the state of polarization of electromagnetic waves is of significant interest for various basic and practical applications such as linear position sensin…
Reconfigurable honeycomb metamaterial absorber having incident angular stability
Javad Shabanpour, Sina Beyraghi, Homayoon Oraizi
Ultrawide-angle electromagnetic wave absorbers with excellent mechanical properties are required in many diverse applications such as sensing, and stealth technologies. Here, a nov…
Ultrafast reprogrammable multifunctional vanadium-dioxide-assisted metasurface for dynamic THz wavefront engineering
Javad Shabanpour, Sina Beyraghi, Ahmad Cheldavi
In this paper, for the first time, a new generation of ultrafast reprogrammable multi-mission bias encoded metasurface is proposed for dynamic THz wavefront engineering by employin…