Institute of Electrical & Electronic Engineers
To cope with highly loaded networks in diverse traffic situations, planning the scheduling for future time slots is an efficient approach. However, such Look-ahead scheduling relies on future Channel Quality Information (CQI), which has to be accurately predicted. In this paper, the authors introduce a generic model for channel prediction errors. With this model, they study how the performance of Look-ahead scheduling depends on channel prediction's accuracy. Finally, they 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 Look-ahead scheduling feasible.