Call admission control for quality of service and revenue maximization

Fair resource allocation in the wireless domain poses significant challenges due to the unique issues in the wireless channel such as location dependent and bursty channel error. This paper presents an adaptive scheduling and call admission control model for the capacity optimization of the wireless network. The model shares limited resources to different traffic flows in a fair way, and at the same time it maximizes the revenue of the service provider. In addition, the flat pricing scenario for the different traffic classes has been used. Presented algorithm is derived from the linear type of revenue target function, and a closed form globally optimal formula is presented. The method is computationally inexpensive, while still producing maximal revenue. Due to the simplicity of the algorithm, it can operate in the highly nonstationary environments. In addition, it is nonparametric and deterministic in the sense that it uses only the information about the number of users and their traffic flows, not about call density functions or duration distributions.