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Depuis le 1er janvier 2015 le LIFL et le LAGIS forment le laboratoire CRIStAL

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Séminaire de

Jean-Michel Dricot

3 février 2011
Amphithéâtre de l'IRCICA

A physical layer perspective on the performance of cognitive and personal area networks

Personal area networks and, more specifically, body area networks (BANs) are key building blocks of the future generation networks and the Internet of Things as well. In the last years, research has focused on channel modeling and on the design of efficient medium access control (MAC) mechanisms. Less attention has been paid to network-level performance analysis. Thereby, this paper presents a novel analytical framework for network performance analysis with star (i.e., centralized) topologies. This framework takes into account realistic channel statistics and provides several insights on BAN design and analysis.

Diversity techniques for cognitive radio networks are important since they enable the primary and secondary terminals to efficiently share the spectral resources in the same location simultaneously. We evaluate a scenario where the cognitive terminals use cross-polarized communications with respect to the primary users. Our approach is network-centric, i.e., performance of the proposed dual-polarized system is investigated in terms of link throughput in the primary and the secondary networks. We demonstrate how to enforce a guaranteed capacity for a primary terminal for a high fraction of time.

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UMR 8022 - Laboratoire d'Informatique Fondamentale de Lille - Copyright © 2012 Sophie TISON - Crédits & Mentions légales

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