Abstract. Worldwide Interoperability for Microwave Access (WiMAX) based on the IEEE 802.16-2009 standard is a serious competitor of Long Term Evolution (LTE) for cellular networks providing high data rates to mobile users. To support various multimedia applications the Quality of Service (QoS) support is a crucial function. While the IEEE 802.16-2009 standard defines five service classes to support the QoS requirements of various multimedia applications, the algorithms and especially the scheduling algorithms to enforce these requirements have not been specified for vendor differentiation. We propose a scheduling algorithm allocating resources according to the guaranteed and sustained rates of each connection, in contrast to common two layer scheduling approaches differentiating between service classes. Simulation results show that our scheduler is able to fulfill the QoS requirements of connections defined by the IEEE 802.16 standard.
Worldwide Interoperability for Microwave Access (WiMAX) mobile communication systems deliver all services through the Internet Protocol. Therefore, an important and crucial part of such systems is the Quality of Service (QoS) support to fulfill the needs of real-time applications. The underlying IEEE 802.16 standard specifies the QoS entities and signaling, but all algorithms are left open for vendor differentiation. In this paper, we propose a Mobile WiMAX QoS concept. It consists of a QoS aware traffic shaping and scheduling algorithm. In contrast to other proposals, our scheduling algorithm does not differentiate between service classes, but between the guaranteed and sustained traffic rate specified by the IEEE 802.16-2012 standard. Our Two-Rate-Based Scheduler (TRBS) additionally accomplishes fairness based on radio resources between users after fulfilling guaranteed demands. Large scale simulation results show that our TRBS algorithm satisfies the QoS requirements of real-time flows. The comparison to Proportional Fair scheduling by means of the number of supported VoIP users and system goodput reveals a significantly better system performance of our scheduling algorithm in highly loaded cells.
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