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Romano Fantacci

Researcher at University of Florence

Publications -  485
Citations -  6455

Romano Fantacci is an academic researcher from University of Florence. The author has contributed to research in topics: Quality of service & Wireless network. The author has an hindex of 36, co-authored 478 publications receiving 5889 citations. Previous affiliations of Romano Fantacci include Telecom Italia & KAIST.

Papers
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Proceedings ArticleDOI

LTE-A femto-cell interference mitigation with MuSiC DOA estimation and null steering in an actual indoor environment

TL;DR: This paper deals with a cognitive approach used to reduce the co-channel interference arising from the coexistence of an LTE macrocell and an LTE femtocell sharing the same frequency band.
Journal ArticleDOI

Performance analysis of a PRMA protocol suitable for voice and data transmissions in low Earth orbit mobile satellite systems

TL;DR: This paper analyzes the performance of a novel medium access control (MAC) scheme suitable for applications in LEO-MSSs, named packet reservation multiple access with hindering states (PRMA-HS), that has been derived by proper modifications of the well-known PRMA protocol.
Journal ArticleDOI

An Optimized CoMP Transmission for a Heterogeneous Network Using eICIC Approach

TL;DR: This paper proposes a coordinated method to face the interlayer and intralayer interference caused by the overlapping of heterogeneous cells and shows that the proposed method outperforms other benchmark solutions in terms of UDRRs and signaling overhead.
Proceedings ArticleDOI

Predictive bandwidth control for GEO satellite networks

TL;DR: Simulation experiments demonstrate that the DBA technique proposed in this work outperforms fixed allocation as well as existing DBA methods.
Proceedings ArticleDOI

A mobility driven joint clustering and relay selection for IEEE 802.11p/WAVE vehicular networks

TL;DR: The proposed protocol is inherently mobility driven as the reference metric to select a Cluster Head takes into account the node connectivity within an estimated coherence time interval, highlighting good performance in terms of connection probability, overhead and complexity.