Contact: Ke Feng, Chargée de Recherche CNRS, ke.feng@ensea.fr
Lab: ETIS UMR 8051, CYU, ENSEA, CNRS, 6 Av. du Ponceau, 95000 Cergy, France
Duration: 6 months
Starting Date: 02/2026
Context
The objective of this internship is to explore performance guarantees (such as link reliability and delay) for next-generation wireless communication networks and to reduce the current gap between the service guarantees available in wired networks and those still absent for wireless networks. One important direction is the spatial analysis of interference-limited networks, where certain regulations have been shown to lead to network-wide lower bounded performance [3]. In contrast to deterministic lower bounds, stochastic guarantees are often desired for systems that exploit statistical multiplexing gain and avoid being overly pessimistic. To obtain these guarantees, we will explore tools from stochastic geometry (point processes), network calculus, and probabilistic analysis of rare events [1–6].
Proposed Activities
– Literature review to understand the existing research and performance gap
– Explore definitions of stochastic guarantees for wireless systems and tools from stochastic geometry, network calculus, and probabilistic tools to characterize tail distributions
– System simulations and analyses
– Research documentation and presentation
Candidate Profile
Master’s student (M2) or final-year engineering student with a specialization in in telecommunications, applied mathematics, or related fields
Skills
- Strong interest in research
- Sound understanding of wireless communication systems, probability, and stochastic networks
- Knowledge of network calculus is a plus
- Software-related skills : develop simulations using Matlab, Python, etc
- Good level of spoken and written English
References
- François Baccelli, Bartlomiej Blaszczyszyn, and Mohamed Kadhem Karray. Random Measures, Point Processes, and Stochastic Geometry. Inria, July 2024
- Anne Bouillard, Marc Boyer, and Euriell Le Corronc. Deterministic network calculus: From theory to practical implementation. John Wiley & Sons, 2018.
- Ke Feng and François Baccelli. Spatial network calculus and performance guarantees in wireless networks. IEEE Transactions on Wireless Communications, 23(5):5033–5047, 2024.
- 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.
- Martin Haenggi. The meta distribution of the sir in poisson bipolar and cellular networks. IEEE Transactions on Wireless Communications, 15(4):2577–2589, 2015.
- Yuming Jiang, Yong Liu, et al. Stochastic network calculus, volume 1. Springer, 2008.
