Dr. Abdellatif Kobbane

  • Full Professor at École Nationale Supérieure d'Informatique et d'Analyse des Systèmes (ENSIAS)
    Mohammed V University in Rabat, Morocco


Dr. Kobbane is interested in the large area of wireless and mobile communications.

Interconnection of heterogeneous wireless networks

At the beginning of each decade, we are witnessing the deployment of a new generation of mobile network. Indeed, current systems are mature, whereas applications and demand are still growing. Operators are thus forced to deploy new technologies to meet this great need. It would be a wise strategy to keep backwards compatibility between the systems of the same operator. The main problem is to answer the question of interoperability between technologies: what is it about, are those technologies in a competition or complementarity situation? On one hand and naturally, this would allow better coverage, better performance, better users satisfaction, multitude of services and many other benefits. On the other hand, this may result in a extra management complexity and extra signalling protocols. Moreover, this solution allows reducing the global networks and to best allocate resources based on the type of traffic, time, geographical constraints, etc..

SDN, NFV, Cognitive radio mobile interaction in 5G

Many recent scientific studies have shown that the introduction of entities called 'cognitive' (or smart) makes better use of resources in a wireless network. The new challenge is to design solutions that integrate cognition in networks. The term 'cognition' describes the faculty to adjust terminal’s parameters (power, frequency, flow, etc..) depending on environmental conditions and real-time radio channel. In particular I am interested in analyzing, modeling, power control and management of intelligent multihoming and developing solutions for such networks. Another crucial issue is to integrate cognition in Femtocell networks and develop some distributed algorithms for flexible radio networks.

Internet of things and Ad-hoc sensor networks : Performances evaluation and privacy challenges

In some extreme cases such as natural disasters (earthquake, flood, fire, etc..) or military emergencies (war, etc..), the installation of base stations is not the best solution to transport data. Indeed, these kind of situations requires new network architectures with high flexibility and scalability. Among the major problems of such networks is routing, relay selection, packet transfer, cooperation paradigm between nodes, power management (battery life-time) and especially the vulnerability to attacks (need to set up an efficient security policy).

Performance evaluation

We are using some advanced modeling technics, as Game Theory, Distributed strategic learning, Markov chains, MDP and also Machine learning and graph theory, in goal to find a near realistic model descrbing the systems performance

  • Modeling: Markov chain, queuing theory, spectral analysis theory, singular perturbation theory, game theory, etc.
  • Simulation: Matlab, Maple, NS3, etc.
  • Materials: Wireless routers, PCs, Cisco Routers, etc.

Research Topics

  • 5G Mobile Networks.
  • Mobile cloud networking.
  • Cognitive radio networks.
  • Mobility Issue.
  • Performance evaluation of mobile networks.
  • Interconnection of heterogeneous wireless networks.
  • Beyond 4G and 5G communications.
  • Architecture enhancements for Futur networks.
  • Machine type communications and M2M.
  • Network resiliency and self organization.
  • Mobile networks: multimedia streaming, cross layer design, handoff/mobility management, resource management, dynamic QoS negotiation, and adaptive scheduling.
  • Integrated terrestrial/satellite communications systems for Internet use: TCP performance, load balancing, and handover management.
  • Context aware mobile applications and internet services.
  • E-health: designing indoor assistance systems for persons with cognitive impairments.
  • Sensor networks, ad-hoc networks, DTNs and vehicle ad-hoc networks: routing and energy efficiency.