Abstract :

The Long Term Evolution is one of the very last evolutions in mobile communication systems that offer a much wider bandwidth than its predecessors. This explains its massive deployment for the Internet of Things (IoT) also called Machine to Machine (M2M) communication or Machine Type Communication (MTC). With the IoT, the network is subject to recurrent congestion when densely charged which is due to increased uplink solicitation. Collisions occur during this process that leads to the congestion which minimizes the quality of service (QoS). In this paper we propose a new model to resolve the problem. We first determine the interval of use of preambles during which the success rate is the highest. We determine the maximal preamble utilization threshold (Rlimit) beyond which QoS is no more guaranteed. The novelty of our model is that once Rlimit threshold is reached, a contention resolution scheme could be activated and will remain until the threshold drops below Rlimit. Our model can give better results if applied to contention resolution. Also, a mathematical analysis is developed and demonstrates the proof of the proposed model and its performance in term of using of the available preambles