Highway and rate prediction downlink scheduler (HRPDS) for LTE-A real time applications

Abstract

A Long Term Evolution Advanced (LTE-A) downlink scheduler must guarantee the Quality of Service (QoS) provisioning. Existing schedulers consider the Channel Quality Indicator (CQI) reports to determine their priority rules. Nevertheless, these reports may not be sufficiently accurate. In addition, existing scheduling policies fail to provide a good tradeoff among low Packet Loss Ratio (PLR) and bounded delay, which is primordial in QoS provisioning. In this paper, we propose a new LTE-A downlink scheduler based on rate prediction. The proposal consists of a semipersistent downlink scheduler oriented for Real time (RT) applications. It is based on an algorithm called Predicted Bit-Rate (PBR). The proposed scheduler is called Highway and Rate Prediction Downlink Scheduler (HRPDS). The main contribution targeted in this paper is guaranteeing an enhanced trade-off between low PLR and bounded delay. In addition, we support prediction in an aim to guarantee a more accurate resource assignment. Further, analytical study shows that the proposal is consistent in terms of QoS provisioning. Simulation results validate the analytical study and prove that the proposed scheduler outperforms the existing schedulers.