Scheduling optimization for M2M communications in LTE-M

One of the major challenges for Machine-to-Machine (M2M) paradigm is the capability to scale to a larger number of connected devices and to provide ultra-low delay communications in order to meet future Internet of Things (IoT) requirements. In this paper, we study the performance of LTE-M protocol in terms of delay, throughput and bandwidth utilization. Next, we propose a novel scheduling mechanism for LTE-M protocol to support M2M communications. The ultimate goal is to optimally allocate the resource blocks to different users in a more efficient manner in order to maximize the usage of the available bandwidth and reduce communications delay.