Statistics seminar

Abstract: Wireless communications is a field in engineering that is attracting a lot of attention and one of the envisioned enablers of future communication systems is statistical learning. Interestingly, many scenarios considered in wireless communications is naturally modelled by point processes. This has historically been studied with stochastic geometry models for wireless networks, however, some areas of applications remain underexplored.

In this talk, I will introduce the audience to what wireless communication is, discussing the basic concepts, models, and challenges. This includes discussing the typically used parametric channel model and how harmonic analysis, estimation theory, and compressive sensing are central mathematical topics applied in practice. Then, I will motivate the use of point process models within wireless communications by giving a general modelling perspective. Finally, I will discuss the primary focus of my research in radio frequency sensing powered by statistical learning for point processes.