Anticipatory Admission Control and Resource Allocation for Media Streaming in Mobile Networks

The exponential growth of media streaming traffic will have a strong impact on the bandwidth consumption of the future wireless infrastructure. The main challenge is to deliver services taking into account the stringent requirements of mobile video streaming, e.g., users expected Quality-of-Service. Admission control and resource allocation can strongly benefit from the use of anticipatory information such as the prediction of future users demand and expected channel gain. In this paper, we use this information to formulate an optimal admission control scheme that maximizes the number of accepted users into the system with the constraint that not only the current but also the expected demand of all users must be satisfied. Together with the optimal set of accepted user, the optimal resource scheduling is also derived. In order to have a solution that can be computed in a reasonable time, we propose an low complexity heuristic. Numerical results show the performance of the proposed scheme with respect to the state of the art.