Optimized Narrow-Band M2M Systems for Massive Cellular IoT Communications

Simple connectivity and data requirements together with high lifetime of battery are the main issues for the machine-to-machine (M2M) communications. 3GPP focuses on three main licensed standardizations based on Long Term Evolution (LTE), GSM and clean- state technologies. The paper considers the last one and proposes a modified slotted-Aloha method to increase the system capacity in terms of support for a massive numbers of low-throughput devices. The proposed method increases the access rate of users belonging to each of the three classes considered in the clean-state standard and consequently the total throughput offered by the system. To derive the mean access rate per class, we use the Markov chain approach and simulation results are provided for scenarios of users with different data rate and also in terms of cell average delay.