Admission control for adaptive multimedia services based on user and service related knowledge

The increasing use of complex multimedia services requires advanced resource management mechanisms, in particular in wireless network environments. Since multimedia services may contain several media flows, the number and properties of which may vary during an ongoing session, and because user preferences regarding flow importance may also vary, we use “user” and “service” related knowledge at session initiation to specify alternative service configurations that can be enforced in cases of decreased resource availability. We apply this knowledge in the context of admission control, by proposing an algorithm allowing for sessions to be admitted with lower quality configurations in cases when there are not enough resources to admit optimal (highest quality) configurations. We hence show that such an approach leads to an increase in session admission probability. We evaluate the proposed model using a developed simulator tool named ADAPTISE that simulates arrivals, durations and resource allocation of multimedia services. Furthermore, we have rerun the ADAPTISE simulation traces in an LTE network simulator tool to test session performance metrics.