Call admission control and resource allocation for quality of service support in wireless multimedia networks

This dissertation addresses the problem of call admission control and resource allocation for providing Quality of Service (QoS) to multimedia applications in the next generation wireless communication networks.; An adaptive resource management system for wireless networks to support QoS of multimedia applications is presented. The basic philosophy is to provide different QoS according to different service requests from end users under the constraint of limited and varying bandwidth resources. The system is designed to be adaptive to the network traffic conditions as well as the nature of multimedia applications. Thus, it improves user's service satisfaction in a mobile wireless environment.; On the provision of connection-level QoS measured by two metrics (the new call blocking probability and the handoff dropping probability), our service model consisted of three service classes, i.e. handoff-guaranteed, handoff-prioritized and handoff-undeclared services, with different requirements on the handoff dropping probability. Resources are reserved in a different manner for each service class. Appropriate call admission control schemes are discussed. Specifically, a measurement-based dynamic call admission control scheme is proposed to guarantee connection-level QoS. The scheme is flexible, computationally efficient and robust to changing network traffic conditions.; On the provision of application-level QoS, our service model considers both CBR and VBR traffics for real-time applications and the UBR traffic for non-real-time applications. For the CBR traffic, the call admission control schemes proposed for connection-level QoS provisioning can be applied to guarantee the packet-level QoS also. For the VBR traffic, stationary call admission control schemes are developed to jointly optimize the connection-level and packet-level QoS based on the analysis of the properties of the QoS metrics. Dynamic optimal solutions are also investigated for the heterogeneous and varying multimedia traffic.