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Rania Mokhtar & Rofida Osman Dirar

Sudan University of Science andTechnology College of Engineering, Sudan

Title: Persistent Overload Control for Backlogged Machine Type Communications in Long Term Evolution Advanced Networks

Biography

Biography: Rania Mokhtar & Rofida Osman Dirar

Abstract

M2M is a form of data communication between entities that do not necessarily need human interaction. Potential and emerging use cases of M2M communications are smart power grid, healthcare monitoring, remote security surveillance, tracking and tracing, intelligent transportation system, and many more. Long Term Evolution-Advanced, is envisaged to play a central role in interconnecting machines. Machine type communications have a very different set of requirements than H2H communications because they are mainly characterized by a high device density in a cell, small amounts of payload, machine-originated communications and low traffic volumes per machine. Machine to Machine has become one of the most attractive technologies in the area of wireless networking. One of the key challenges facing LTE-Advanced is the large number of machines initiating random access to LTE-Advance’s base station all at once. In this paper, P-persistent scheme is proposed with backlogged M2M devices which use to control RAN overload in LTE-A network simulate by using MATLAB environment. M2M devices arrivals follow Beta distribution use for calculating the throughput and probabilities of collision, success and idle for M2M devices. The first case when P have a high value and the second case P have low value this results show that in first case the success probability of M2M device is high about 73% within limited number of M2M devices and have lower collision probability but in the other case M2M devices have lower success probability about 26% with high collision probability,