Prof. Fulvio Schettino

Prof. Fulvio Schettino

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Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 May 2020 in IEEE Access

Journal Article

A Theoretical and Experimental Investigation on the Measurement of the Electromagnetic Field Level Radiated by 5G Base Stations

SA

Sara Adda

TA

Tommaso Aureli

SD

EG

Enrico Grillo

RS

+3

This paper presents some theoretical considerations and experimental results regarding the problem of maximum power extrapolation for the assessment of the exposure to electromagnetic fields radiated by 5G base stations. In particular the results of an extensive experimental campaign using an extrapolation procedure recently proposed for 5G signal is discussed and experimentally checked on a SU-MIMO signal. The results confirm the effectiveness of the extrapolation technique. Starting from an analysis (that represents a further novel contribution of this paper) on the impact of Spatial Division Multiple Access techniques used in 5G on the measurement of EMF level, some indications of possible extension of the technique to the highly complex MU-MIMO case are also given.

30 October 2017 in IEEE Transactions on Antennas and Propagation

Journal Article

An Effective Compressed-Sensing Inspired Deterministic Algorithm for Sparse Array Synthesis

Daniele Pinchera

Marco Donald Migliore

FS

Fulvio Schettino

GP

Gaetano Panariello

Aim of this paper is to discuss a novel technique for sparse array synthesis. The synthesis strategy is based on a sparse-forcing algorithm using an improvement of the reweighted ℓ1 minimization proposed in the framework of the compressed-sensing literature, specifically modified in order to tailor both linear and conformal array synthesis problems. The numerical examples show that the proposed algorithm improves the results provided by concurrent techniques, reducing the number of radiating elements and/or the computational effort.

13 November 2006 in IEEE Transactions on Antennas and Propagation

Journal Article

Improving Channel Capacity Using Adaptive MIMO Antennas

MI

Migliore

Daniele Pinchera

FS

Fulvio Schettino

Marco Donald Migliore

A novel type of multiple-input multiple-output (MIMO) antenna employing parasitic elements is presented. A proper model for the parasitic-MIMO system is first discussed and then numerically and experimentally investigated. The results show that the proposed solution can significantly improve the performance of the communication system with a minimum impact on the complexity and cost of the overall system

4 January 2017 in Radio Science

Journal Article

Scattering by a zero‐thickness PEC disk: A new analytically regularizing procedure based on Helmholtz decomposition and Galerkin method

GP

Gaetano Panariello

FS

Fulvio Schettino

10 August 2017 in Electronics

Journal Article

Antenna Arrays for Line-of-Sight Massive MIMO: Half Wavelength Is Not Enough

Daniele Pinchera

Marco Donald Migliore

FS

Fulvio Schettino

GP

Gaetano Panariello

The aim of this paper is to analyze the array synthesis for 5 G massive MIMO systems in the line-of-sight working condition. The main result of the numerical investigation performed is that non-uniform arrays are the natural choice in this kind of application. In particular, by using non-equispaced arrays, we show that it is possible to achieve a better average condition number of the channel matrix and a significantly higher spectral efficiency. Furthermore, we verify that increasing the array size is beneficial also for circular arrays, and we provide some useful rules-of-thumb for antenna array design for massive MIMO applications. These results are in contrast to the widely-accepted idea in the 5 G massive MIMO literature, in which the half-wavelength linear uniform array is universally adopted.

3 October 2005 in IEEE Transactions on Antennas and Propagation

Journal Article

A simple and robust adaptive parasitic antenna

Marco Donald Migliore

Daniele Pinchera

FS

Fulvio Schettino

A novel Uda-Yagi adaptive antenna is numerically and experimentally investigated. The antenna consists of an active element and a relatively large number of parasitic elements closed on two different loads selectable by simple electronic switches. The use of fuzzy-logic based cost function and self-adaptive biological beamforming algorithms allows to obtain quite good performances both in terms of signal to interference plus noise ratio and voltage standing wave ratio. The antenna is simple, low cost, and is robust with respect to mechanical and electrical tolerances and with respect to failures of some passive elements. Experimental results on two different prototypes confirm the good performances of the proposed antenna.

About Me

FULVIO SCHETTINO received a Laurea degree (Hons.) and a Ph.D. degree in electronics engineering from the University of Naples, Naples, Italy. He is currently an Associate Professor with the University of Cassino and Southern Lazio, Cassino, Italy. He is a member of the ELEDIA@UniCAS Research Laboratory, the National Interuniversity Research Center on the Interactions Between Electromagnetic Fields and Biosystems (ICEMmB), the Italian Electromagnetic Society (SIEM), and the National Interuniversity Consortium for Telecommunication (CNIT). His current research interests include numerical electromagnetics; regularization methods; the connections between electromagnetism and information theory; the analysis, synthesis, and characterization of antennas in complex environments; antennas and propagation for 5G; and energetic applications of microwaves.

FULVIO SCHETTINO received a Laurea degree (Hons.) and a Ph.D. degree in electronics engineering from the University of Naples, Naples, Italy. He is currently an Associate Professor with the University of Cassino and Southern Lazio, Cassino, Italy. He is a member of the ELEDIA@UniCAS Research Laboratory, the National Interuniversity Research Center on the Interactions Between Electromagnetic Fields and Biosystems (ICEMmB), the Italian Electromagnetic Society (SIEM), and the National Interuniversity Consortium for Telecommunication (CNIT). His current research interests include numerical electromagnetics; regularization methods; the connections between electromagnetism and information theory; the analysis, synthesis, and characterization of antennas in complex environments; antennas and propagation for 5G; and energetic applications of microwaves.