 |
IT-SG-WN (2011-2013) Wireless networks and information theory |
Principal Investigators:
- Dr. François Baccelli, TREC project-team, Inria Paris
- Prof. Venkat Anantharam, University of California Berkeley
Research objectives:
The research is centered on the interplay between stochastic geometry and network information theory, with a particular emphasis on wireless networks. In terms of research, two main lines of thought are: (1) Error exponents and stochastic geometry, (2) Stochastic geometry and the modeling of networks leveraging multi user information theory.
Scientific achievements:
- Error exponents and stochastic geometry: The team continued its prior work on the analysis of the error exponent (reliability function) for classical channels in Information Theory, with combined techniques of point process theory and stochastic geometry in high dimension, large deviations and perturbation analysis. This led to general results on error exponents associated with stationary and ergodic noise for classical channels of information theory as well as network information theory like the MAC channel.
- Stochastic geometry and the modeling of networks leveraging multi user information theory: The team investigated the interplay between Network Information Theory and stochastic geometry to analyze large wireless networks. The objective was to derive innovative distributed communication strategies alleviating the interference limitations and allowing one to transfer information more efficiently through large wireless networks. In collaboration with A. El Gamal at Stanford University and D. Tse, the team obtained a global estimation of the improvement brought by simultaneous decoding in networks with multiple MAC or multiple interference channels.
Publications and Awards:
- 4 Journal articles.
- 3 Conference papers.
Selected publication:
F. Baccelli, A. El Gamal and D. Tse, 2011, Interference networks with point-to-point codes. IEEE International Symposium on Information Theory Proceedings (ISIT).
Follow up :
The team has continued work on the Shannon Capacity and Error Exponents. The focus is on improvement of known error exponents by investigating other point processes like Matern, Gibbs, Determinantal. The team also had interest in extending the theory to other channels of Network IT like broadcast channels, interference channels and MIMO channels.
