Titre :
“AI-empowered 5G cellular networks”
The objective of this 5 to 6 months Internship is to analyze opportunities and challenges to exploit Artificial Intelligence for 5G networks, and demonstrate the effectiveness of AI to manage and orchestrate cellular network resources.
5G cellular networks are assumed to be the key enabler, not only for the ICT ecosystem, but also for many other industrial and service activity sectors. These include Railway and Vehicular communications, Public Safety users, Logistic and Industrial sectors…). For this to happen, 5G should offer three types of services including enhanced mobile broadband (eMBB) for higher bandwidth and throughput demanding applications, ultra-reliable low latency service (URLLC) for delay sensitive applications and massive machine-type communications (mMTC).
Since many user types are expected to coexist over 5G networks, slicing techniques are expected to be used in order to configure on-demand logical sub-networks over shared 5G resources. For that to happen, the network should intelligently detect a new pre-defined service indicator or any QoS degradation and adjust accordingly its configuration.
However, it is established that from one network generation to another, the complexity of network configuration is increasing. Studies show for instance that the number of configurable parameters in a typical 4G node has increased to 1500 from 1000 in a 3G node and 500 in a 2G node. It is expected that this number will be close to 2000 for 5G. It is then critical to introduce intelligence in 5G to seek the self-organizing features (i.e. self- configuration, self-optimization, and self-healing). This Intelligence is required in almost over all functions.
These include radio and network resource allocation, mobility management and service provisioning.
The intern will:
- -Analyze and summarize the related state of the art (AI for 5G networks)
- -Propose Models and conduct performance analysis regarding Slice allocation using AI techniques
