A mechanism to control the congestion in machine-to-machine communication in LTE-A networks

Machine-to-machine communication (M2M) is a core elements in the Internet of Things (IoT) vision. Due to the large number of devices expected, the Long-term Evolution-Advanced (LTA-A) networks may present congestion and overload problems. In this paper, we present two approaches to mitigate the impact of M2M communication in LTE-A. We model such overloaded scenario as a bankruptcy problem and apply two strategies to define how resources should be allocated. The simulation results show that our approaches present improvements in terms of energy efficiency, impact control of M2M over Human-to-human (H2H) and define priority among different classes of device.