Dynamic bandwidth provisioning using ARIMA-based traffic forecasting for Mobile WiMAX |
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Authors: | Hyun-Woo KimJun-Hui Lee Yong-Hoon Choi Young-Uk ChungHyukjoon Lee |
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Affiliation: | School of Electronics and Information Engineering, Kwangwoon University 447-1, Wolgye-dong, Nowon-gu, Seoul 139-701, Republic of Korea |
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Abstract: | With fast proliferation of QoS-enabled wireless packet networks, need for effective QoS control is increasing. In this paper, we focus on QoS provisioning in Mobile WiMAX access service network (ASN). We investigate a dynamic bandwidth provisioning method that can help to increase resource utilization. Our approach consists of two stages: traffic forecasting, followed by bandwidth provisioning. For the first stage, we use auto-regressive integrated moving average (ARIMA) model to forecast traffic based on online measurement. For the second stage, we use a bandwidth provisioning scheme that allocates bandwidths depending on the traffic forecasting. We modeled our problem as a Fractional Knapsack Problem for which we used a greedy algorithm in order to find an approximate solution. Through simulation studies with real-world data sets, we found that our approach could increase the bandwidth for the real-time traffic class and guarantee adequate service quality for the nonreal-time traffic class as well, while maximizing resource utilization. |
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Keywords: | IEEE802 16 networks Traffic forecasting ARIMA Bandwidth provisioning QoS |
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