Andreas Johnsson Research Area Packet Systems Ericsson Research Mats Björkman The Department of Computer Science and Electronics Mälardalen University
Abstract— BART is a state-of-the-art active end-to-end bandwidth measurement method that estimates not only the available bandwidth but also the link capacity of the bottleneck link. It uses a Kalman filter to give estimates in real time during a measurement session. In this paper, we have studied the impact of 802.11 networks on the bandwidth estimates produced by BART. The Kalman filter used by BART is tunable, and one of the contributions of this paper is to show how the Kalman filter should be adjusted to improve real-time tracking and estimation accuracy when the bottleneck is an 802.11 link. Further, the paper contributes by discussing how to interpret the estimates produced by BART and similar bandwidth estimation tools relying on self-induced congestion when used in wireless scenarios. An analysis show that the BART estimates produced are correct - but corresponds to a fair share of the wireless link rather than to the unused capacity. However, the estimates do indicate how much bandwidth an application or device in the wireless network can expect when sending and/or receiving network traffic.
I. I NTRODUCTION Since wireless networks often are used for nomadic access to the Internet from a laptop, it is important to study how methods for actively measuring available bandwidth behave when wireless links are part of the end-to-end path. If endto-end available bandwidth measurement methods are to be widely accepted as performance measurement tools, it is important to ensure that they report correct values in wireless networks as well. End-to-end available bandwidth methods relying on selfinduced congestion that exist today are for example ABget [1], Pathchirp [2], Pathload [3], Spruce [4] and TOPP [5]. The principle is to inject so called probe packets,