Quality of service scheduling based on utility prediction

Next generation wireless systems are expected to provide broadband access service and efficient support to multimedia applications. To overcome the limitation due to harsh propagation environments and the scarce spectrum availability, advanced transmission techniques based on multicarrier schemes and adaptive modulation are commonly considered key elements. However, in order to fully exploit these transmission schemes, scheduling mechanisms able to take advantage of the diverse channel conditions experienced by users and guarantee at the same time quality of service, are of paramount importance. In this paper we first propose a scheduling scheme that increases the achievable throughput by combining multiuser diversity with channel prediction. Then we extend the proposed scheme to incorporate quality of service requirements of multimedia services. The proposed solution has been validated within the framework of the 1ST WINNER project by means of system level simulations.