A Predictive Opportunistic Scheduler for 4G Wireless Systems

Channel aware schedulers play a crucial role in the performance enhancement of wireless systems by taking advantage of channel fluctuations for leveraging the gain that results in user selections (multiuser diversity) to maximize the throughput performance. Opportunistic schedulers achieve a convenient trade-off between sum-rate and fairness by optimizing the resource allocation with respect to the channel performance over past assignments (e.g., channel quality measurements for the past users or the users´ throughput). This paper is focused on opportunistic schedulers based on cumulative density function with the introduction of the predicted channel quality values. The Predictive Score Based Scheduler (Predictive-SBS) proposed in this paper is computationally convenient and shows a better trade-off between sum-rate and fairness when compared to non-predictive schedulers based on cumulative density function.