Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Mobile Computing
A framework for dynamic SLA-based QoS control for UMTS
IEEE Wireless Communications
Adaptive provisioning of differentiated services networks based on reinforcement learning
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
QoS issues in the converged 3G wireless and wired networks
IEEE Communications Magazine
A framework for elastic QoS provisioning in the cdma2000 1×EV-DV packet core network
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Mobile WiMAX Bandwidth Reservation Thresholds: A Heuristic Approach
International Journal of Wireless Networks and Broadband Technologies
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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.