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Andrea Bacioccola

Researcher at Nokia

Publications -  27
Citations -  993

Andrea Bacioccola is an academic researcher from Nokia. The author has contributed to research in topics: Wireless network & Quality of service. The author has an hindex of 14, co-authored 27 publications receiving 988 citations. Previous affiliations of Andrea Bacioccola include University of Pisa & Nokia Networks.

Papers
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Patent

Device-to-device connection setup using near-field communication

TL;DR: In this paper, the authors describe an out-of-band near-field communication connection with a second device by transmitting wireless communication signals including necessary power for providing the near field communication connection.
Patent

Wireless docking with out-of-band initiation

TL;DR: In this paper, an out-of-band connection from a mobile device to the plurality of devices to send in-band short-range communication connection parameters including a timer value related to an expected completion time of a connection handover.
Patent

Delayed and conditional transport switch

TL;DR: In this article, an out-of-band short-range carrier transport switch with a second device by transmitting wireless communication signals for providing the outofband carrier communication connection, and sending, by the first device, in-band Short-range Carrier Communication Connection (SRC) connection parameters including one or more parameters indicating a timer value of an interval related to an expected completion time of a transport switch procedure, to the second device via the out-oftheband Short Range Carrier communication connection.
Proceedings ArticleDOI

User-level performance evaluation of VoIP using ns-2

TL;DR: In this paper, the authors present enhancements to the popular Network Simulator 2 (ns-2) that allow a reliable VoIP user-level performance analysis to be carried out through simulation.
Proceedings ArticleDOI

A downlink data region allocation algorithm for IEEE 802.16e OFDMA

TL;DR: A sample data region allocation algorithm (SDRA) is proposed, and its performance is evaluated by means of Monte Carlo analysis in several scenarios, involving mixed voice over IP and best effort MSs, different modulations, and frequency re-use plans.