Performance Evaluation of a Decoupled-Level with QoS-Aware Downlink Scheduling Algorithm for LTE Networks

Abstract

With the design of data communications in mind, 3GPP Long Term Evolution (LTE) mobile network is now considered as the most promising technology for Internet of EveryThings (IoE). The IoE incorporates four pillars: people, process, data, and things. The pillars interact in a way that establishes three main connections in the IoE environment: people communicate with people (P2P), machines communicate with people (M2P), and machines communicate with machines (M2M). In order to accommodate the increased demand for P2P connections called Human-to-Human (H2H) data services, LTE packet scheduling (PS) algorithm aims to optimize system's performance and users quality of service (QoS) requirements by following specific policies. PS algorithm is responsible for the allocation of shared radio resources among mobile user equipment (UE). In this paper we focus on how LTE will handle the H2H connections and we propose a new packet scheduling algorithm for LTE Downlink called Decoupled-level with QoS-Aware (DLQA). Our proposed scheduling algorithm makes decisions based on two decoupled levels and QoS needs. Finally, we show, through simulation results that our proposed algorithm optimizes well system's performance and user's QoS requirements compared to competing well-known scheduling algorithms.