A dynamic access control scheme to balance massive access requests of differentiated M2M services in 5G/HetNets

Machine to Machine (M2M) or Machine Type Communication (MTC) is an emerging technologies in communication system and networking research area. It represents a key component of Internet of Thing (IoT) and is considered as one of the promising technologies which is being regarded in the future 5G Heterogeneous Networks (5G/HetNets). One of the most difficult challenges to support M2M communications is their huge number compared to available radio resources. Hence to deal with Random Access channel (RACH) overload and to better control the Access the 3GPP proposed the Access Class Barring (ACB) method. In this paper we proposed an algorithm to improve this method based on load balancing mechanism and a dynamic ACB factors, according M2M traffic category with respect to their access delay. Simulation results were done for testing the effectiveness of our proposed mechanism and show that using a base station selection method and tacking into account differentiated M2M services can increase the access success probability and reduce Access delay especially for devices with high priority traffic while satisfying the load balancing between Base stations (BS).