Abstract
Over the past decade, we have witnessed a growing popularity of new wireless architectures such as 3G/4G, Wi-Fi and WiMAX due to the increase in demand for wireless Internet access. The all-IP based future mobile and wireless network model is expected to be the most dominant architecture for QoS provisioning in next-generation wireless networks, mainly due to its scalability and capability of inter working heterogeneous wireless access networks. Recently, the rapid growth of various wireless infrastructures and the interesting mixture of wireless traffic generated by large number of devices (PDAs, Laptops and cell-phones) have diverted the attention of wireless research community towards understanding the nature of traffic carried by different wireless architectures. A series of recent studies on GPRS aggregated traffic, WAP and Web traffic has proven that just like fixed IP traffic, wireless traffic also exhibits strong long-range dependency. However, much of the current understanding of wireless traffic modeling builds on classical Poisson distributed traffic, which can yield misleading results and hence poor wireless network planning. In this paper, we contribute to the accurate modeling of wireless IP traffic by considering three different classes of traffic that exhibit long-range dependency and self-similarity. We consider a model of three queues based on G/M/1 queueing system and analyze it on the basis of novel scheduling logic and derive exact bounds on packet delay for the corresponding traffic classes. We also develop a comprehensive discrete event simulator to understand the QoS behavior of the corresponding traffic classes under this proposed scheduling scheme. The novel scheduling logic outperforms the traditional schemes such as priority and round robin and serves as the basis to offer guaranteed QoS relevant to the diversified requirement of different applications in this heterogeneous mixture of wireless networks.