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A Finite Memory Filtering for End-to-End Available Bandwidth Estimation

Pyung Soo Kim
International Journal of Control, Automation, and Systems, vol. 11, no. 1, pp.206-210, 2013

Abstract : In this paper, a finite memory filter is proposed to estimate the available bandwidth through real-time tracking unknown parameters of the sloping straight line while removing undesired system and measurement noises. The finite memory filter is developed under a weighted least square criterion using only the most recent finite probe-packet measurements on the window. The proposed finite memory filtering based available bandwidth estimate is shown to have several inherent properties such as unbiasedness, deadbeat, and robustness. A guideline for choosing appropriate window length is de-scribed as it can significantly affect the estimation performance. Finally, computer simulations show that the proposed finite memory filtering based approach can be comparable with the Kalman filtering based approach with infinite memory structure for constantly or slowly changing available bandwidth and outperform that for dynamically changing available bandwidth.

Keyword : Active measurement, available bandwidth estimation, finite memory filter, infinite memory filter, Kalman filter.

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