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Simone Frattasi

Researcher at Aalborg University

Publications -  60
Citations -  1188

Simone Frattasi is an academic researcher from Aalborg University. The author has contributed to research in topics: Wireless & Wireless network. The author has an hindex of 14, co-authored 60 publications receiving 1155 citations. Previous affiliations of Simone Frattasi include Samsung.

Papers
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Journal ArticleDOI

Defining 4G technology from the users perspective

TL;DR: This article gives a pragmatic definition of 4G derived from a new user-centric methodology that considers the user as the "cornerstone" of the design and contributes to the identification of the real technical step-up of4G with respect to 3G.
Proceedings ArticleDOI

Channel-aware scheduling algorithms for SC-FDMA in LTE uplink

TL;DR: Three new channel-aware scheduling algorithms for SC-FDMA are proposed and evaluated in both local and wide area scenarios and outperform the round-robin scheduling in terms of cell spectral efficiency with gains up to 68.8% in wide area environments.
Journal ArticleDOI

OFDMA vs. SC-FDMA: performance comparison in local area imt-a scenarios

TL;DR: The suitability of using OFDMA or SC-FDMA in the uplink for local area high-data-rate scenarios by considering as target performance metrics the PAPR and multiuser diversity gain is discussed.
Book

Mobile Positioning and Tracking: From Conventional to Cooperative Techniques

TL;DR: This book discusses mobile positioning solutions applied on top of current wireless communication networks and introduces advanced and novel topics such as localization in heterogeneous and cooperative networks, providing a unified treatment of the topic for researchers and industry professionals alike.
Proceedings ArticleDOI

Cooperative Positioning Techniques for Mobile Localization in 4G Cellular Networks

TL;DR: Simulations for a hybrid WiMAX/Wi-Fi system are carried out considering an outdoor environment, where time difference of arrival (TDOA) and received signal strength (RSS) measurements are combined thanks to advanced data fusion techniques.