Thinning-Stable Point Processes as a Model for Spatial Burstiness
Paper in proceeding, 2025

In modern telecommunications, spatial burstiness of data traffic poses challenges to traditional Poisson-based models. This paper describes application of thinning-stable point processes, which provide a more appropriate framework for modeling bursty spatial data. We discuss their properties, representation, inference methods, and applications, demonstrating the advantages over classical approaches.

random measure

spatial burstiness

point process

wireless systems

modelling

discrete stability

inference

cluster process

Author

Sergey Zuev

University of Gothenburg

Chalmers, Mathematical Sciences, Analysis and Probability Theory

Proceedings of the International Symposium on Modeling and Optimization in Mobile Ad Hoc and Wireless Networks Wiopt

26903334 (ISSN) 26903342 (eISSN)


9783903176737 (ISBN)

23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2025
Linköping, Sweden,

Subject Categories (SSIF 2025)

Telecommunications

DOI

10.23919/WiOpt66569.2025.11123357

More information

Latest update

9/26/2025