Franco Fuschini

Dr. Franco Fuschini

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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3 June 2015 in Radio Science
Verified
Journal Article
Closed access
PDF file
FFFranco Fuschini
Franco Fuschini
Enrico Maria VitucciEnrico Maria Vitucci
Enrico Maria Vitucci
MBMarina Barbiroli
Marina Barbiroli
GFGabriele Falciasecca
Gabriele Falciasecca
VDVittorio Degli-Esposti
Vittorio Degli-Esposti

31 October 2014 in IEEE Access
Verified
Journal Article
Open access
VDVittorio Degli-Esposti
Vittorio Degli-Esposti
FFFranco Fuschini
Franco Fuschini
Enrico Maria VitucciEnrico Maria Vitucci
Enrico Maria Vitucci
MBMarina Barbiroli
Marina Barbiroli
MZMarco Zoli
Marco Zoli
RTReiner S. Thoma
Reiner S. Thoma
The use of large-size antenna arrays to implement pencil-beam forming techniques is becoming a key asset to cope with the very high throughput density requirements and high path-loss of future millimeter-wave (mm-wave) gigabit-wireless applications. Suboptimal beamforming (BF) strategies based on search over discrete set of beams (steering vectors) are proposed and implemented in present standards and applications. The potential of fully adaptive advanced BF strategies that will become possible in the future, thanks to the availability of accurate localization and powerful distributed computing, is evaluated in this paper through system simulation. After validation and calibration against mm-wave directional indoor channel measurements, a 3-D ray tracing model is used as a propagation-prediction engine to evaluate performance in a number of simple, reference cases. Ray tracing itself, however, is proposed and evaluated as a real-time prediction tool to assist future BF techniques.

12 March 2019 in Sensors
Verified
Journal Article
Open access
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EBElena Borelli
Elena Borelli
Giacomo PaoliniGiacomo Paolini
Giacomo Paolini
FAFrancesco Antoniazzi
Francesco Antoniazzi
MBMarina Barbiroli
Marina Barbiroli
Francesca BenassiFrancesca Benassi
Francesca Benassi
ACAlessandra Costanzo
Alessandra Costanzo
In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Artificial Intelligence. Thus, the main novelty of the paper is the system-level description of the platform flexibility allowing the interoperability of different smart devices. This research was developed within the framework of the operative project HABITAT (Home Assistance Based on the Internet of Things for the Autonomy of Everybody), aiming at developing smart devices to support elderly people both in their own houses and in retirement homes, and embedding them in everyday life objects, thus reducing the expenses for healthcare due to the lower need for personal assistance, and providing a better life quality to the elderly users.

9 November 2018 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
JLJonathan Lu
Jonathan Lu
Enrico Maria VitucciEnrico Maria Vitucci
Enrico Maria Vitucci
VDVittorio Degli-Esposti
Vittorio Degli-Esposti
FFFranco Fuschini
Franco Fuschini
MBMarina Barbiroli
Marina Barbiroli
HBHenry L. Bertoni
Henry L. Bertoni
We present here a novel, fully discrete Ray Launching field prediction algorithm that takes advantage of environment preprocessing to efficiently trace rays undergoing both specular and diffuse interactions. The algorithm is “environment-driven” because rays are traced from the ray source according to the presence and distribution of obstacles in the surrounding space, therefore adapting ray density to the environment’s characteristics. The environment is discretized into simple regular shapes to facilitate faster geometric computations, to allow for visibility preprocessing and for the algorithm to be parallelized in a straightforward way. These innovative features combined together and implemented on a NVIDIA Graphical Processing Unit (GPU) are shown to speed-up computation by several orders of magnitude compared to more conventional algorithms, while retaining a similar accuracy level. The speed-up and prediction accuracy achieved in reference cases is presented in comparison to a pre-existing ray-based model and RF-coverage measurements.

7 February 2017 in Journal of Infrared, Millimeter, and Terahertz Waves
Verified
Journal Article
Open access
PDF file
FFFranco Fuschini
Franco Fuschini
SHStephan Häfner
Stephan Häfner
MZMarco Zoli
Marco Zoli
RMR. Müller
R. Müller
Enrico Maria VitucciEnrico Maria Vitucci
Enrico Maria Vitucci
RTR. S. Thomä
R. S. Thomä
Frequency bands above 6 GHz are being considered for future 5G wireless systems because of the larger bandwidth availability and of the smaller wavelength, which can ease the implementation of high-throughput massive MIMO schemes. However, great challenges are around the corner at each implementation level, including the achievement of a thorough multi-dimensional characterization of the mm-wave radio channel, which represents the base for the realization of reliable and high-performance radio interfaces and system architectures. The main properties of the indoor radio channel at 70 GHz, including angular and temporal dispersion as well as an assessment of the major interaction mechanisms, are investigated in this study by means of UWB directional measurements and ray tracing simulations in a reference, small-indoor office environment.

23 January 2019 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
FFFranco Fuschini
Franco Fuschini
MZMarco Zoli
Marco Zoli
Enrico Maria VitucciEnrico Maria Vitucci
Enrico Maria Vitucci
MBMarina Barbiroli
Marina Barbiroli
VDVittorio Degli-Esposti
Vittorio Degli-Esposti
This study concerns the evaluation of beamforming techniques in multi-user indoor environment at the mm-wave frequency band of 70 GHz using both measurements and ray tracing simulations carried out in a furnished small-office environment. The goal of the work is twofold: (i) to evaluate ray tracing as a reliable directional channel model for beamforming assessment and for real-time assistance in the beam-searching phase, (ii) to evaluate simple beamforming schemes as means to enforce spatial division in a small-indoor environment. Results suggest that the considered ray tracing model can be reliable enough to reproduce the general performance trends of different beamforming schemes and to assist the beam-searching phase, therefore potentially reducing the related time delay and computational overhead.