| Speaker : | Ke Feng |
| Inria | |
| Date: | 08/12/2021 |
| Time: | 3:00 pm - 4:00 pm |
| Location: | LINCS + Zoom |
Abstract
In cellular networks, there is a growing emphasis on the user experienced performance and ultra-reliable low-latency communications. This necessitates an analysis of the performance achieved by most users most of the time, rather than a subset of users with peak performance. To this end, the meta distribution is introduced as an essential analytical tool in the framework of stochastic geometry. In the first part of the talk, we discuss some analytical results about the meta distribution in cellular networks. Exploiting the independence between the small-scale fading and the large-scale path loss, we derive the separability of the meta distribution for arbitrary fading in Poisson networks. We further look at the impact of fading statistics, noise, and the network geometry.
In the second part, we propose a joint spatial-propagation model for coverage-oriented cellular networks. This model ascribes the irregular deployment of base stations to an intelligent design by the operators and reverse-engineers the underlying cell-dependent shadowing from the shape and size of the Voronoi cells.