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Luca De Nardis

Researcher at Sapienza University of Rome

Publications -  88
Citations -  1165

Luca De Nardis is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Cognitive radio & Computer science. The author has an hindex of 19, co-authored 78 publications receiving 961 citations. Previous affiliations of Luca De Nardis include University of California, Berkeley.

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Journal ArticleDOI

(UWB) 2 : uncoordinated, wireless, baseborn medium access for UWB communication networks

TL;DR: Results obtained by simulation indicate that (UWB)2 can be successfully applied when the number of users spans from a few tens to about one hundred, for data rates ranging from a a few thousands to a few hundreds of bits per second, confirming that ( UWB) 2 is a suitable and straightforward solution for large networks of terminals using impulse radio for transmission at low bit rates.
Proceedings ArticleDOI

Cognitive Satellite Terrestrial Radios

TL;DR: The key issues are addressed and the concepts of developing CR based satellite ground terminals in HSTS for dynamic spectrum access on the ground are presented and the concept of 3D-Spatial reuse of the spectrum is also presented using the CSTR.
Journal ArticleDOI

ViFi: Virtual Fingerprinting WiFi-Based Indoor Positioning via Multi-Wall Multi-Floor Propagation Model

TL;DR: Extensive experimental results show that ViFi outperforms virtual fingerprinting systems adopting simpler propagation models in terms of accuracy, and allows a seven-fold reduction in the number of measurements to be collected, while achieving the same accuracy of a traditional fingerprinting system deployed in the same environment.
Journal ArticleDOI

Cognitive radio for medical body area networks using ultra wideband

TL;DR: This article proposes a viable architecture of an MBAN with practical CR features based on ultra wideband radio technology and discusses the physical and MAC layer aspects of the proposal in addition to the implementation challenges.
Proceedings Article

Collaborative content distribution for vehicular ad hoc networks

TL;DR: This paper addresses the problem of low-latency content distribution to a dense vehicular highway network from roadside infostations, using efficient multihop vehicle-to-vehicle coll aboration, and shows that in the limit of a highly dense network, the decentralized approach can attain a multicast throughput that is up to a factor of 1/e of the throughput which could be achieved by perfectly scheduling all packets in the network.