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.

International audienceIn the LTE (Long Term Evolution) System, packet scheduling is considered the most important step of RRM (Radio Resource Management) to have better resource utilization. In this context, we proposed a new Uplink scheduling scheme for LTE networks and compared its performances with other well known algorithms such as the RME (Recursive Maximum Expansion), the RR (Round Robin) and the BCQI (Best-CQI) Uplink scheduler's algorithms. The RR scheduler is characterized by a high fairness, but low data rates at cell level. On the other hand, the RME scheduler is characterized by its low complexity, but poor fairness. Also, the BCQI scheme is characterized by high data rates, but poor fairness. The main goal of our proposed scheme was to use the Tabu method for to schedule and optimize the allocation of a PRBs (Physical Resource Blocks) efficiently between different users. Simulation results show that the newly proposed scheduling algorithm allows a fair distribution of available LTE resources while keeping an high system's throughput

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