Institut de Recherche sur les Composants logiciels et matériels pour l’Information et la Communication Avancée - USR 3380 du CNRS

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Thèse de Lopes De Freitas Mauro

Soutenue le 13-06-2018 10:00 , Amphithéatre IRCICA

Wireless Communications in Dynamic Interference - modeling, capacity and applications

This thesis focuses on the study of noise and interference exhibiting an impulsive behavior, an attribute that can be found in many contexts such as wireless communications or molecular communications. This interference is characterized by the presence of high amplitudes during short durations, an effect that is not well represented by the classical Gaussian model. In fact, these undesirable features lead to heavier tails in the distributions and can be modeled by the alpha-stable distribution. In particular, we study the impulsive behavior that occurs in large-scale communication networks that forms the basis for our model of dynamic interference. More precisely, such interference can be encountered in heterogeneous networks with short packets to be transmitted, as in the Internet of Things, when the set of active interferers varies rapidly. The first part of this work is to study the capacity of alpha-stable additive noise channels, which is not well understood at present. We derive lower and upper bounds for the capacity with an absolute moment (amplitude) constraint. The second part consists in analyzing the impact of our bounds in practical contexts.

Jury de these:

RapporteursPhilippe CiblatProfesseur, Telecom ParisTech
Marco Di RenzoChargé de recherche CNRS, L2S, Centrale Supélec, France
ExaminateursMérouane DebbahDirecteur laboratoire R&D en mathématiques etcalgorithmes, Huawei Technologies
Gareth W. PetersProf. Chair, Statistics for Risk and Insurance, Heriot-Watt University, Edinburgh, UK
Michèle WiggerMaître de Conférence, Telecom ParisTech, France
Atika RivenqProfesseur, Université de Valenciennes et du Hainaut-Cambrésis, France
Encadrant(s)Laurent ClavierProfesseur, IMT, Télécom Lille, France
Malcolm EganAssociate Professor, INSA de Lyon, France

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