5G LTE-A cognitive multiclass scheduling scheme for internet of things

Abstract

Due to the exponential growth of many devices and objects creating a fully interconnected world, Internet of Things (IoT) have important impact on our social life. For example, in computer network and communication area, IoT systems are considered as a promising technology aiming the improvement of the fourth generation (4G) presented by Long Term Evolution Advanced (LTE-A) and even the support of the fifth generation (5G) systems. The Call Admission Control (CAC) and scheduling mechanisms are still considered as important challenges because they greatly contribute to achieve our goals. In this paper, we consider the uplink traffics in 5G systems and we present a new approach based on Quality of Service (QoS) requirements of the uplink IoT demands. The proposed algorithm prioritizes human to human users (H2H) without neglecting Machine to machine (M2M) users. We show, through simulation results, that our proposed algorithm positively influences both the served users and throughput performance. Furthermore. our proposal also ensures an important accepted service flows.