Fairness-based adaptive QoS scheduling for LTE

Abstract

LTE employs Orthogonal Frequency-Division Multiple Access (OFDMA) to provide high data transmission rate in downlink. Users expose to different network environments, so their exploited services would experience different performance of throughput, delay time, and jitter. In the literature, many studies explored how to allocate resource blocks (RB) to different services efficiently. Famous examples are Proportional Fair (PF) and Modified Largest Weighted Delay First (MLWDF) scheduling algorithms. PF considers fairness-based service priority without Quality of Service (QoS) consideration. MLWDF favors those packets with timing constraints, resulting in uneven resource distribution. In this paper, we propose a fairness-based adaptive QoS scheduling algorithm for LTE downlink. We design an Adaptive Modified Largest Weighted Delay First (AMLWDF) formula, which considers delay time, instantaneous transmission rate, average transmission rate, delay constraints, QCI priority, and fairness at the same time. Simulation results show that AMLWDF outperforms Proportional Fair and Modified Largest Weighted Delay First in various performance indexes.