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Proceedings Paper

Prediction-based dynamic bandwidth allocation in WiFi
Author(s): Huifang Feng; Yantai Shu; Oliver W.W. Yang; Hua Wang
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Paper Abstract

We study the dynamic allocation of bandwidth for video traffic in wireless networks. Our approach consists of two stages. In the first stage, we apply the FARIMA (Fractional Autoregressive Integrated Moving Average) models to forecast traffic based on online traffic measurements. In the second stage, we use the forecast results to allocate bandwidth dynamically. We evaluate our FARIMA-based scheme by comparing it with the ARIMA-based and the static schemes in terms of packet loss probability, queue length and bandwidth utilization. Through the experiments with real traffic traces, we demonstrate our approach works well for highly fluctuating traffic in WiFi.

Paper Details

Date Published: 25 October 2004
PDF: 8 pages
Proc. SPIE 5598, Performance, Quality of Service, and Control of Next-Generation Communication Networks II, (25 October 2004); doi: 10.1117/12.570697
Show Author Affiliations
Huifang Feng, Tianjin Univ. (China)
Yantai Shu, Tianjin Univ. (China)
Oliver W.W. Yang, Univ. of Ottawa (Canada)
Hua Wang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 5598:
Performance, Quality of Service, and Control of Next-Generation Communication Networks II
Frank Huebner; Robert D. van der Mei, Editor(s)

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