Trend Forecasting Based on Singular Spectrum Analysis of Traffic Workload in a Large-Scale Wireless LAN
Source: University of Crete
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 load characterization can be beneficial in modeling network traffic and addressing a variety of problems including coverage planning, resource reservation and network monitoring for anomaly detection. This paper 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, they found that the time-series of traffic load at a given AP has a small intrinsic dimension.