Research Article
A Model Based Approach for Estimating Aggregate Interference in Wireless Networks
@INPROCEEDINGS{10.4108/icst.crowncom.2012.248458, author={Janne Riihij\aa{}rvi and Petri M\aa{}h\o{}nen}, title={A Model Based Approach for Estimating Aggregate Interference in Wireless Networks}, proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={7}, keywords={aggregate interference point process models}, doi={10.4108/icst.crowncom.2012.248458} }- Janne Riihijärvi
Petri Mähönen
Year: 2012
A Model Based Approach for Estimating Aggregate Interference in Wireless Networks
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248458
Abstract
In this paper we discuss the problem of estimating aggregate interference in large scale wireless networks. We argue that the usual approximations assuming uniform distribution of transmitters can lead into significant approximation errors. We then show how these approximation errors can be reduced by adopting a model based approach using spatial statistics of the actual transmitter distribution as part of the model. The resulting approach is still very lightweight numerically, and enables trading off computational complexity to approximation accuracy in a flexible manner. The developed methodology is general, and can be used for aggregate interference estimation both within individual wireless networks, and also between two or more wireless communication systems.
