QoS in Integrated 3G Networks
Admission Control for Streaming Services over HSDPA
AICT-SAPIR-ELETE '05 Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop
Integrated Downlink Resource Management for Multiservice WiMAX Networks
IEEE Transactions on Mobile Computing
Wireless Communications & Mobile Computing
Dynamic bandwidth allocation policies
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Bandwidth Allocation Strategies in Wide-Band Integrated Networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Packet scheduling in 3.5G high-speed downlink packet access networks: breadth and depth
IEEE Network: The Magazine of Global Internetworking
Estimating the loss probability under heavy traffic conditions
Computers & Mathematics with Applications
Hi-index | 0.00 |
The increasing demand for wireless heterogeneous multimedia services presents a real challenge to mobile network operators. Even with the substantial increase in the supported bandwidth in emerging Broadband Wireless Access Systems (BWASs) such as 3.5G High Speed Downlink Packet Access (HSDPA) and the Worldwide Interoperability for Microwave Access (WiMAX), satisfying the bandwidth requirements of mobile users while increasing the revenues of network operators is still one of the major issues in these systems. Therefore, bandwidth provisioning will certainly play a decisive role in the success of such BWASs. In this paper, we propose a novel dynamic multiple-frame bandwidth provisioning scheme for BWASs. The proposed scheme spans multiple time frames and optimally allocates them to the different classes of traffic depending on their weights, the real-time bandwidth requirements of their users' connections, their channel quality conditions and the expected obtained revenues. To maximize fairness and still maintain service differentiation between classes, we provide a unique formulation for dynamically computing the class weights. Simulation results are provided to show the potential and effectiveness of our scheme.