Contact: Ke Feng, Chargée de Recherche CNRS, ke.feng@ensea.fr (https://kefengke.github.io)
Lab: ETIS UMR 8051, CYU, ENSEA, CNRS, 6 Av. du Ponceau, 95000 Cergy, France
Duration: 6 months
Starting Date: 2027
Context
The objective of this internship is to explore theoretical performance limits and guarantees for next-generation wireless communication networks based on one or several tools from
– stochastic geometry (random point processes)
– network calculus
– probabilistic analysis of rare events
– graph neural networks
Candidate Profile
Master’s student (M2) or final-year engineering student with a specialization in applied mathematics (probability), telecommunications/networking, information theory, or related fields
Skills
- Strong interest in research in wireless communication systems, probability, or stochastic networks
- Knowledge of network calculus is a plus
- Good level of spoken and written English
References
- Ke Feng and François Baccelli. Spatial network calculus and performance guarantees in wireless networks. IEEE Transactions on Wireless Communications, 23(5):5033–5047, 2024.
- Anne Bouillard, Marc Boyer, and Euriell Le Corronc. Deterministic network calculus: From theory to practical implementation. John Wiley & Sons, 2018.
- Ke Feng and Martin Haenggi. Separability, asymptotics, and applications of the sir meta distribution in cellular networks. IEEE Transactions on Wireless Communications, 19(7):4806–4816, 2020.
- Yuming Jiang, Yong Liu, et al. Stochastic network calculus, volume 1. Springer, 2008.
