【正文】
erties of SelfSimilarityn Long range dependencen Slowly decaying variancen Heavytailed distributionBackground of SelfSimilarity(5/8)n SelfSimilar TrafficBackground of SelfSimilarity(6/8) X(t) is a Pareto distribution random process with shape parameterαand location parameter k.Pareto Distribution:Background of SelfSimilarity(7/8)n Variancetime Plot n R/S PlotBackground of SelfSimilarity(8/8)Properties of WLAN Traffic(1/2) n WLAN trafficTime Unit=1 SecTime Unit= SecTime Unit= SecBasic: 1 μSAggregation: 1, , SecEnvironment: 7NBn Poisson trafficProperties of Real Network(2/2) Time Unit= SecTime Unit= SecTime Unit=1 SecEstimation of SelfSimilar Traffic(1/2)? Packets Sequence on WLANEstimation of SelfSimilar Traffic(2/2)? Variance Plot R/