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Elenco Pubblicazioni - Publications (1710)

E. Giusti, K. K. Tiwari, C. J. Reddy, D. Brizi, A. Monorchio and G. Caire, "Artificial Magnetic Conductor Frame to Improve Impedance Matching and Radiation Symmetry in 2×2 Array for 6G Applications," 2026 IEEE International Symposium on Antennas and

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Abstract: We present an Artificial Magnetic Conductor (AMC) frame capable of improving the impedance matching and the radiation symmetry of a 2×2 dual polarized array without degrading isolation performance for 6G applications. The proposed frame is…
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E. Giusti, P. Usai, D. Brizi and A. Monorchio, "Fast 3D Access Point Optimal Placement in Multi-Floor Buildings Using U-Net Deep Learning," 2026 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/USNC-U

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Abstract: This article presents a smart approach for optimized Access Point (AP) placement in 3D buildings through the use of Deep Learning (DL), specifically a U-Net architecture. The continuous growth of the Internet of Things (IoT)…
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E. Giusti, P. Usai, D. Brizi and A. Monorchio, "Beam-Steerable Fabry–Perot Cavity Antenna With Mechanically Tunable Partially Reflective Surfaces for 6G Applications," in IEEE Open Journal of Antennas and Propagation, vol. 7, no. 4, pp. 1232-1243, Au

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Abstract: A Fabry-Perot cavity antenna with beam steering capability enabled by the movement of a Partially Reflective Surface (PRS) is presented. Fabry-Perot cavities are commonly used due to their attractive properties, especially high gain and low…
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E. Giusti, P. Usai, D. Brizi and A. Monorchio, "Access Points Placement Predictor for Indoor Optimal Coverage Based on a Modified U-NET Neural Network," 2026 20th European Conference on Antennas and Propagation (EuCAP), Dublin, Ireland, 2026, pp. 1-5

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Abstract: This article presents an indoor access points placement strategy using a modified U-NET Neural Network (U-NET NN) for signal spatial coverage maximization. The growth of Internet of Things (IoT) applications has increased the demand for…
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F. Fiorini, C. Bua, R. G. Garroppo, M. Pagano, D. Adami, S. Giordano. “Ultra-Efficient and Scalable QoS Prediction for QKD in 7G Networks Using Fuzzy-Augmented Neural Network.” IEEE Open Journal of the Communications Society, 2026

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The integration of Quantum Key Distribution (QKD) into prospective 7G communication systems represents a promising approach to provide information-theoretic security for future networked applications. In such environments, QKD infrastructures are expected to support heterogeneous services…
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