État académique
Thèse soutenue le 2016-01-13
Sujet: Advanced techniques of Interference Alignment: Application to Wireless Networks
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
Structured Compute-and-Forward with phase precoding scheme: Beyond integers
International audience
—In this work, we focus on the K−user Gaussian Symmetric Complex-valued Interference Channels (GS-CIC). The Compute-and-Forward (CoF) protocol in wireless networks have been employed for Gaussian Symmetric Real-valued Interference Channels (GS-RIC) to achieve approximately the capacity of such channels and making Interference Alignment (IA) by solving a system of linear equations at destinations. We aim to adapt this protocol to GS-CIC. At high Signal-to-Noise Ratio (SNR), this protocol shows a fading behavior of the achievable sum-rate for strong and very strong interference regimes. In complex field this random-like behavior is related to the phase of complex cross channel coefficients. To avoid this fading-like behavior, we consider Z[i]−lattice codes and we propose a phase precoding scheme for CoF protocol with partial feedback. In this method the phase of channel coefficients will then be fed back to the transmitters in order to choose the best precoder factors to control this random behavior. We further simulate the achievable sum-rate given by this scheme and showing significant gain improvement can be obtained in terms of limiting the random behavior of achievable sum-rate.
2015 International Symposium on Wireless Communication Systems (ISWCS) https://hal.archives-ouvertes.fr/hal-01313225 2015 International Symposium on Wireless Communication Systems (ISWCS), Aug 2015, Bruxelles, Belgium. 2015, <10.1109/ISWCS.2015.7454374>ARRAY(0x7fe6a7507b90) 2015-08-25
Compute-and-Forward for the Interference Channel: Diversity Precoding
Interference Alignment is a new solution to overcome the problem of interference in multiuser wireless communication systems. Recently, the Compute-and-Forward (CF) transform has been proposed to approximate the capacity of K-user Gaussian Symmetric Interference Channel and practically perform Interference Alignment in wireless networks. However, this technique shows a random behavior in the achievable sum-rate, especially at high SNR. In this work, the origin of this random behavior is analyzed and a novel precoding technique based on the Golden Ratio is proposed to scale down the fadings experiences by the achievable sum-rate at high SNR.
Proceeding of Iran Workshop on Communication and Information Theory (IWCIT), 2014 Iran Workshop on Communication and Information Theory (IWCIT), 2014conference proceeding 2014-05-08
Thèse: "Techniques avancées d'alignement d'Interférences : Application aux réseaux sans fil."
Soutenance: 2016-01-13