no code implementations • 11 Jan 2024 • Pietro Da Rù, Arianna Benoni, Marco Salucci, Paolo Rocca, Andrea Massa
In the framework of the "Smart ElectroMagnetic Environment" (SEME), an innovative strategy leveraging Equivalence Source concepts is introduced for enhancing the performance of large-scale outdoor wireless communication systems.
no code implementations • 5 Jan 2024 • Francesco Zardi, Luca Tosi, Marco Salucci, Andrea Massa
In this paper, an innovative microwave imaging (MI) approach for breast tumor diagnosis is proposed that employs a differential formulation of the inverse scattering problem (ISP) at hand to exploit arbitrary-fidelity priors on the inhomogeneous reference/healthy tissues.
no code implementations • 8 Sep 2023 • Francesco Zardi, Giacomo Oliveri, Andrea Massa
An innovative evolutionary method for the dynamic control of reconfigurable intelligent surfaces (RISs) is proposed.
no code implementations • 17 Aug 2023 • Giacomo Oliveri, Francesco Zardi, Andrea Massa
Optically-transparent opportunistic electromagnetic skins (OTO-EMSs) are proposed to enable outdoor-to-indoor (O2I) millimiter-wave (mmW) wireless communications with existing windows/glass-panels.
no code implementations • 8 Aug 2023 • Dario Tagliaferri, Marouan Mizmizi, Giacomo Oliveri, Umberto Spagnolini, Andrea Massa
The advantage is twofold: \textit{(i)} by introducing a compact high-reflectivity structure on the target, we make vehicles behave like \textit{point targets}, avoiding perspective deformations and related ranging biases and \textit{(ii)} we increase the reflectivity the vehicle, improving localization performance.
no code implementations • 18 Apr 2023 • Arianna Benoni, Federico Capra, Marco Salucci, Andrea Massa
To the best of the authors' knowledge, this work presents the first large-scale indoor experimental assessment of an implementation of the emerging Smart ElectroMagnetic Environment (SEME) paradigm, which is based on the deployment of static-passive EM skins (SP-EMSs) to enhance the coverage in a 5 [GHz] Wi-Fi network.
no code implementations • 28 Nov 2022 • Yu Zhong, Francesco Zardi, Marco Salucci, Giacomo Oliveri, Andrea Massa
Practical applications of microwave imaging often require the solution of inverse scattering problems with inhomogeneous backgrounds.
1 code implementation • 11 Oct 2022 • Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
Neural Architecture Search (NAS) algorithms aim at finding efficient Deep Neural Network (DNN) architectures for a given application under given system constraints.
no code implementations • 23 Aug 2022 • Xiuzhu Ye, Francesco Zardi, Marco Salucci, Andrea Massa
Perfect Electric Conductors (PECs) are imaged integrating the subspace-based optimizationmethod (SOM) within the iterative multi-scaling scheme (IMSA).
no code implementations • 23 Aug 2022 • Giacomo Oliveri, Marco Salucci, Andrea Massa
The ability of passive flat patterned electromagnetic skins (EMSs) to overcome the asymptotic limit of the total path attenuation (TPA) of flat metallic reflectors of arbitrary size in non-line-of-sight (NLOS) specular wireless links is assessed.
no code implementations • 18 Aug 2022 • Nicola Anselmi, Luca Tosi, Paolo Rocca, Giovanni Toso, Andrea Massa
The design of irregular planar phased arrays (PAs) characterized by a highly-modular architecture is addressed.
no code implementations • 26 Jul 2022 • Marco Salucci, Lorenzo Poli, Paolo Rocca, Claudio Massagrande, Pietro Rosatti, Mohammad Abdul Hannan, Mirko Facchinelli, Andrea Massa
An innovative millimeter-wave (mm-wave) microstrip edge-fed antenna (EFA) for 77 GHz automotive radars is proposed.
no code implementations • 18 Jul 2022 • Giacomo Oliveri, Marco Salucci, Andrea Massa
A generalized formulation is derived for the analysis of the field manipulation properties of electromagnetic skins (EMSs) in the working regimes of interest for wireless communications.
no code implementations • 18 Oct 2021 • Paolo Rocca, Pietro Da Rù, Nicola Anselmi, Marco Salucci, Giacomo Oliveri, Danilo Erricolo, Andrea Massa
Representative numerical results are reported and discussed to point out the features and the potentialities of the EMS solution in the smart electromagnetic environment (SEME) as well as the effectiveness of the proposed design method.
no code implementations • 18 Oct 2021 • Arianna Benoni, Marco Salucci, Giacomo Oliveri, Paolo Rocca, Baozhu Li, Andrea Massa
The optimal planning of electromagnetic skins (EMSs) installed on the building facades to enhance the received signal strength, thus the wireless coverage and/or the quality-of-service (QoS) in large-scale urban areas, is addressed.
no code implementations • 18 Oct 2021 • Giacomo Oliveri, Francesco Zardi, Paolo Rocca, Marco Salucci, Andrea Massa
An innovative process for the design of static passive smart skins (SPSSs) is proposed to take into account, within the synthesis, the electromagnetic (EM) interactions due to their finite (macro-level) size and aperiodic (micro-scale) layouts.
no code implementations • 18 Aug 2021 • Paolo Rocca, Nicola Anselmi, Mohammad Abdul Hannan, Andrea Massa
The design of a conical phased array antenna for air traffic control (ATC) radar systems is addressed in this work.
no code implementations • 16 Jul 2021 • Andrea Massa, Marco Salucci
The System-by-Design (SbD) is an emerging engineering framework for the optimization-driven design of complex electromagnetic (EM) devices and systems.
no code implementations • 1 Jul 2021 • Marco Salucci, Lorenzo Poli, Paolo Rocca, Andrea Massa
The computationally-efficient solution of fully non-linear microwave inverse scattering problems (ISPs) is addressed.
no code implementations • 21 Jun 2021 • Giacomo Oliveri, Paolo Rocca, Marco Salucci, Andrea Massa
An innovative approach for the synthesis of inexpensive holographic smart electromagnetic (EM) skins with advanced beamforming features is proposed.
1 code implementation • 19 Aug 2020 • Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
Deep Neural Networks (DNNs) have made significant improvements to reach the desired accuracy to be employed in a wide variety of Machine Learning (ML) applications.