84 citations · 276 across the 16 of their papers we have counts for
16 papers
Optimal Policies of Advanced Sleep Modes for Energy-Efficient 5G networks
Fatma Ezzahra Salem, Tijani Chahed, Eitan Altman +2
We study in this paper optimal control strategy for Advanced Sleep Modes (ASM) in 5G networks. ASM correspond to different levels of sleep modes ranging from deactivation of some c…
Key technologies to accelerate the ICT Green evolution -- An operator's point of view
Azeddine Gati, Fatma Ezzahra Salem, Ana Maria Galindo Serrano +17
The exponential growth in networks' traffic accompanied by the multiplication of new services like those promised by the 5G led to a huge increase in the infrastructures' energy co…
Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance
Julien Floquet, Richard Combes, Zwi Altman
We consider hierarchical beamforming in wireless networks. For a given population of flows, we propose computationally efficient algorithms for fair rate allocation including propo…
Self-optimizing load balancing with backhaul-constrained radio access networks
Abdoulaye Tall, Zwi Altman, Eitan Altman
Self-Organizing Network (SON) technology aims at autonomously deploying, optimizing and repairing the Radio Access Networks (RAN). SON algorithms typically use Key Performance Indi…
Multilevel beamforming for high data rate communication in 5G networks
Abdoulaye Tall, Zwi Altman, Eitan Altman
Large antenna arrays can be used to generate highly focused beams that support very high data rates and reduced energy consumption. However, optimal beam focusing requires large am…
Virtual sectorization: design and self-optimization
Abdoulaye TALL, Zwi Altman, Eitan Altman
Virtual Sectorization (ViSn) aims at covering a confined area such as a traffic hot-spot using a narrow beam. The beam is generated by a remote antenna array located at-or close to…
Particle Swarm Optimization for Mobility Load Balancing SON in LTE Networks
Zwi Altman, Soumaya Sallem, Ridha Nasri +2
This paper presents a self-optimizing solution for Mobility Load Balancing (MLB). The MLB-SON is performed in two phases. In the first, a MLB controller is designed using Multi-Obj…
Self-Optimizing Mechanisms for EMF Reduction in Heterogeneous Networks
Habib B. A. Sidi, Zwi Altman, Abdoulaye Tall
This paper focuses on the exposure to Radio Frequency (RF) Electromagnetic Fields (EMF) and on optimization methods to reduce it. Within the FP7 LEXNET project, an Exposure Index (…
Self Organizing strategies for enhanced ICIC (eICIC)
Abdoulaye Tall, Zwi Altman, Eitan Altman
Small cells have been identified as an effective solution for coping with the important traffic increase that is expected in the coming years. But this solution is accompanied by a…
Preliminary Results on 3D Channel Modeling: From Theory to Standardization
Abla Kammoun, Hajer Khanfir, Zwi Altman +2
Three dimensional beamforming (3D) (also elevation beamforming) is now gaining a growing interest among researchers in wireless communication. The reason can be attributed to its p…
Distributed coordination of self-organizing mechanisms in communication networks
Abdoulaye Tall, Richard Combes, Zwi Altman +1
The fast development of the Self-Organizing Network (SON) technology in mobile networks renders the problem of coordinating SON functionalities operating simultaneously critical. S…
Handover adaptation for dynamic load balancing in 3gpp long term evolution systems
Ridha Nasri, Zwi Altman
The long-Term Evolution (LTE) of the 3GPP (3rd Generation Partnership Project) radio access network is in early stage of specification. Self-tuning and self-optimisation algorithms…
The association problem in wireless networks: a Policy Gradient Reinforcement Learning approach
Richard Combes, Ilham El Bouloumi, Stephane Senecal +1
The purpose of this paper is to develop a self-optimized association algorithm based on PGRL (Policy Gradient Reinforcement Learning), which is both scalable, stable and robust. Th…
Coordination of autonomic functionalities in communications networks
Richard Combes, Zwi Altman, Eitan Altman
Future communication networks are expected to feature autonomic (or self-organizing) mechanisms to ease deployment (self-configuration), tune parameters automatically (self-optimiz…
Statistical Learning in Automated Troubleshooting: Application to LTE Interference Mitigation
Moazzam Islam Tiwana, Berna Sayrac, Zwi Altman
This paper presents a method for automated healing as part of off-line automated troubleshooting. The method combines statistical learning with constraint optimization. The automat…
A hybrid decision approach for the association problem in heterogeneous networks
Salah Eddine Elayoubi, Eitan Altman, Majed Haddad +1
The area of networking games has had a growing impact on wireless networks. This reflects the recognition in the important scaling advantages that the service providers can benefit…