Adaptive frame size control based on resource allocation for Machine-to-Machine services in LTE wireless networks

As Machine-to-Machine (M2M) services get their widely application, its own characteristic was observed and discussed. Some of the characteristics such as small data communication and the huge amount of devices are different from the traditional Human-to-Human (H2H) Services, whose radio resource allocation mechanism is designed for tens of users and large amount of data. To solve this problems for the existing LTE wireless networks, an adaptive frame size control strategy is proposed in this paper. After a M2M device receives the resources from the eNodeB, it compares the resources with the data in the transmit buffer to see if the resources can be able to fill with some copies of the data. Using the Send Multiple Copies of Data Scheme (SMCDS), the utilization of the resources allocated is improved. Simulation results show that with this strategy, system throughput and transmission success rate both increase.