Admission control algorithms integrated with pricing for revenue optimization with QoS guarantees in mobile wireless networks

We propose and analyze call admission control algorithms integrated with pricing for revenue optimization with QoS guarantee to serve multiple service classes in mobile wireless networks. Traditional admission control algorithms make acceptance decision for new and handoff calls to satisfy certain QoS constraints such as the dropping probability of handoff calls and the blocking probability of new calls being lower than a pre-specified threshold. We analyze a class of partitioning and threshold-based admission control algorithms that make acceptance/rejection decision not only to satisfy QoS requirements but also to optimize the revenue of the system, taking into account prices and arrival/departure information of service calls. We show that for a "charge-by-time" pricing scheme, there exist optimal resource allocation settings under which the partitioning and threshold-based admission control algorithm would produce the maximum revenue obtainable by the system without sacrificing QoS requirements. Further, the threshold-based admission control algorithm outperforms the partitioning-based counterpart at optimizing settings over a wide range of input parameters characterizing the operating environment and service workload conditions. Methods for utilizing of the analysis results for real-time admission control for revenue optimization with QoS guarantee are described with numerical data given to demonstrate the applicability.