Description
Date depot: 1 octobre 2020
Titre: Cloud-native Computing in 5G and 6G
Directeur de thèse:
Navid NIKAEIN (Eurecom)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Systèmes et réseaux
Resumé:
Cloud-native is a set of approaches, technologies, and paradigms to develop applications that exhibit scalable features on a fairly new environment of cloud computers. In contrary to the well-suited definition and many benefits of the cloud-native, it is not immediately clear how we should apply those techniques on the next-generation mobile networks, namely 5G and 6G. On a joined academic and experimental research in this thesis, wewant to address such issues in the context of Radio AccessNetwork (RAN) and the Core network of 5G. In its foundation, 5G should be scalable, automatic, and flexible while providing demanding services of very low latency, high throughput, and enormous scale of supported devices. Hence, the benefits of using cloud-native in 5G emerge out, but it has considerable differences with the virtualization approaches in general which are already studied and standardized.
In this thesis, we are mainly focusing on the time-critical and delay-intolerant applications and network functions. In this path, we have recognized several challenges that demand a new abstraction model to study. Also, we target to provide agility and intelligence to the model and to study the distributed structures of the systems. Alongside the research, simulations, experiments, and implementations will help us to improve our model in an evolving manner.
Doctorant.e: Mohammadi Alireza