Persistent Overload Control of Backlogged Machine Type Communications in Long term Evolution Advanced Networks

Abstract

Machine-to-machine (M2M) communications are expected to provide ubiquitous connectivity between machines without the need of human intervention. The rapid growth in the number of M2M devices causes the radio access network (RAN) overloading when a large number of M2M devices try to access the radio resources in a very short period of time. In this thesis review the random access procedure in LTE-A network and then review and evaluate the existing RAN overload control methods. The proposed solution is P-Persistent method with backlogged M2M devices which use to control RAN overload in LTE-A network simulate by using MATLAB environment. M2M devices arrival follows Beta distribution to derive equations and use for calculating the throughput and probabilities of collision, success and idle for M2M devices. Have two cases to calculate the first case when P have a high value and the second case P have low value this results show that with high value of P 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 at low value of P the M2M devices have lower success probability about 32% with high collision probability.