Interference Prediction in Wireless Networks: Stochastic Geometry meets Recursive Filtering

This article proposes and evaluates a technique to predict the level of interference in wireless networks. We design a recursive predictor that estimates future interference values by filtering measured interference at a given location. The predictor's parameterization is done offline by transl...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2021-02
Hauptverfasser:	Schmidt, Jorge F, Schilcher, Udo, Atiq, Mahin K, Bettstetter, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoregressive moving average Autoregressive moving-average models Interference Kalman filters Parameterization Resource allocation Resource management Resource scheduling Sensitivity analysis Wireless communications Wireless networks
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!