Doctorant sous la direction de M. Assaad

Titre de la thèse: Performance improvement of 5G Wireless Systems taking into account Traffic Patterns

2017

Preprints, Working Papers, ...

titre
Energy Efficiency in Cache Enabled Small Cell Networks With Adaptive User Clustering
auteur
Salah Hajri, Mohamad Assaad
article
2017
Accès au bibtex
BibTex

 

Salah Eddine Hajri, Mohamad Assaad, Maialen Larrañaga, "Enhancing massive MIMO: A new approach for Uplink training based on heterogeneous coherence time" submitted to ICT 2018, available at https://arxiv.org/abs/1707.03571 and at https://hal.archives-ouvertes.fr/hal-01578350v2

 

Salah Eddine Hajri ; Mohamad Assaad ; Giuseppe Caire, "Scheduling in Massive MIMO: User clustering and pilot assignment", 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016.

 

Salah Eddine Hajri ; Mohamad Assaad, "Caching improvement using adaptive user clustering", IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016

 

Salah Eddine Hajri ; Mohamad Assaad, "An exclusion zone for massive MIMO with underlay D2D communication", International Symposium on  Wireless Communication Systems (ISWCS), 2015