Efficient fair queueing using deficit round-robin
IEEE/ACM Transactions on Networking (TON)
A survey of MAC based QoS implementations for WiMAX networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Admission control and resource allocation in a heterogeneous OFDMA wireless network
IEEE Transactions on Wireless Communications
Computational analysis and efficient algorithms for micro and macro OFDMA downlink scheduling
IEEE/ACM Transactions on Networking (TON)
Efficient two-dimensional data allocation in IEEE 802.16 OFDMA
INFOCOM'10 Proceedings of the 29th conference on Information communications
Capacity evaluation for IEEE 802.16e mobile WiMAX
Journal of Computer Systems, Networks, and Communications - Special issue on WiMAX, LTE, and WiFi interworking
Call admission control in wireless networks: a comprehensive survey
IEEE Communications Surveys & Tutorials
Scheduling and CAC in IEEE 802.16 Fixed BWNs: A Comprehensive Survey and Taxonomy
IEEE Communications Surveys & Tutorials
Towards Autonomic Network Management: an Analysis of Current and Future Research Directions
IEEE Communications Surveys & Tutorials
Mobile WiMAX systems: performance and evolution
IEEE Communications Magazine
Editorial: Special issue on service delivery management in broadband networks
Journal of Network and Computer Applications
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WiMAX is a connection-oriented wireless network that provides QoS in metropolitan broadband communications. One important component in WiMAX QoS provisioning and management is the Connection Admission Control (CAC), which must be aware of the network conditions (e.g., user traffic demands and physical aspects). In our research, we define the association between a particular user traffic demand and a specific physical condition as a network usage profile. State-of-the-art proposals focus on optimizing CAC algorithms considering a single network usage profile; the adaptation of CAC algorithms when the predominant network usage profile changes is partially or fully neglected. In this article, we introduce a self-adapting CAC solution that, using a library of CAC algorithms, is able to switch the running algorithm according to the current network usage profile. The evaluation results, obtained through simulations, demonstrate that our self-adapting CAC solution is able to detect the changes on the predominant network usage profile. In addition, the results show how much different profiles can impact on the efficiency of CAC algorithms, thus confirming the need of switching the running CAC algorithm so that QoS can be guaranteed for the ongoing connections.