A Framework for Evaluating Effects of Channel Prediction Inaccuracy on the Performance of Channel Adaptive Techniques

Abstract—Adapting transmission parameters to the future channel state is an appealing approach to improve efficiency in wireless communication. Adaptation requires predicting the channel state. Current channel-adaptive techniques as- sume perfect prediction. In this paper, we claim that neglect- ing the prediction error leads to poor performance results, possibly even worse than without prediction at all. We have developed a simulation framework which allows us to inves- tigate the effects of the prediction error on achieved perfor- mance results (e. g., throughput) independently of the predic- tion algorithm by introducing models for the prediction error. Furthermore, the simulation environment offers flexible in- terfaces which allow to replace components of the simulation model, like traffic generator, prediction model, channel model. To substantiate our claim, we have investigated the perfor- mance of two channel-adaptive schedulers, showing that the prediction error has to be considered.