Network traffic load in an IEEE802.11 infrastructure arises from the superposition of traffic accessed by wireless clients associated with Access Points (APs). An accurate characterization of these data can be beneficial in modelling network traffic and addressing a variety of problems including cover-age planning, resource reservation and network monitoring for anomaly detection. This study focuses on the statistical analysis of the traffic load measured in a campus-wide IEEE802.11 infrastructure at each AP. Using the Singular Spectrum Analysis approach, one found that the time-series of traffic load at a given AP has a small intrinsic dimension. In particular, these time-series can be accurately modelled using a small number of leading (principal) components.
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