Thinning-Stable Point Processes as a Model for Spatial Burstiness
Paper i 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
Författare
Sergey Zuev
Göteborgs universitet
Chalmers, Matematiska vetenskaper, Analys och sannolikhetsteori
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,
Linköping, Sweden,
Ämneskategorier (SSIF 2025)
Telekommunikation
DOI
10.23919/WiOpt66569.2025.11123357