Abstract
Machine-to-machine (M2M) communication is one of the promising technologies to provide smart and efficient services for the advanced long term evolution (LTE-A) networks. Therefore, the mobile network operators find huge potential by enabling M2M communication in LTE-A systems. However, number of M2M devices over LTE-A network require additional transmission resources due to heterogeneous requirement that generates a major issue of allocating the available resources between the primary service of human-to-human (H2H) communications and multiple M2M services. This paper proposes a hybrid preemptive/non-preemptive resume priority scheme that is able to handle the heterogeneity requirements of M2M services while incorporating to LTE networks. In the proposed model, the relations between H2H and M2M are preemptive, whereas M2M and M2M are non-preemptive. In addition, we classify the M2M traffic into a number of classes based on the delay sensitivity of each traffic services. The analytical model is developed to evaluate the delay performance of the proposed scheme. Moreover, the comparison based on simulation results is conducted between the proposed scheme and two existing state-of-the-art resource allocation schemes. Based on the numerical results, the proposed scheme performed better in terms of extended transmission time reduction.