État académique
Thèse en cours...
Sujet: Analyse de compétition spatiale et spatio-temporelle dans le contrôle d'accès et de puissance dans les réseaux mobiles sans fil
Direction de thèse:
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
Self-similarity in urban wireless networks: Hyperfractals
International audience
We introduce a model of Poisson patterns of fixed and mobile nodes on lines designed for urban wireless networks. The pattern obeys to " Hyperfractal " rules of dimension larger than 2. The hyperfractal pattern is best suitable for capturing the traffic over the streets and highways in a city. We show that the network capacity under ad hoc routing algorithms scales much better than with the classic uniform Poisson shot model. The scaling effect depends on the hyperfractal dimensions. We show this results in two different routing models: nearest neighbor routing with no collision, minimum delay routing model assuming slotted Aloha and signal to interference ratio (SIR) capture condition, power-path loss and Rayleigh fading. The novelty of the model is that, in addition to capturing the irregularity and variability of the node configuration, it exploits self-similarity, a characteristic of urban wireless networks.
Workshop on Spatial Stochastic Models 
for Wireless Networks (SpaSWiN) https://hal.inria.fr/hal-01498987 Workshop on Spatial Stochastic Models 
for Wireless Networks (SpaSWiN), May 2017, Paris, France. 2017ARRAY(0x7f0400604380) 2017-05-19
Self-similar Geometry for Ad-Hoc Wireless Networks: Hyperfractals
https://hal.inria.fr/hal-01561828 [Research Report] Nokia Bell Labs [Paris Saclay] (Nokia); Inria Paris. 2017ARRAY(0x7f040222ffe8) 2017-11-07