Simple Channel Predictors for Lookahead Scheduling

To cope with highly loaded networks in diverse traffic situations, scheduling time slots in advance is an efficient approach. However, such Lookahead scheduling relies on future Channel Quality Information (CQI), which has to be accurately predicted. In this paper, we introduce a generic model for channel prediction errors. With this model, we study how the performance of lookahead scheduling depends on channel prediction´s accuracy. Finally, we propose a simple channel predictor. This predictor provides high accuracy, is easy to implement and of low complexity. Consequently, it is a large step in making Lookahead scheduling feasible.