ABSTRACT
This chapter reviews the state-of-the-art modeling approaches that analyze the Random Access CHannel (RACH) procedure in the general cellular-based massive Internet of Things (mIoT) and narrow bandwidth Internet of Things (NB-IoT) networks. IoT devices perform the RACH procedure to request channel resources for uplink transmission in the cellular-based mIoT network, where the massive mIoT traffic imposes enormous load at the Radio Access Network level. The chapter provides analytical results of RACH success probability by taking into account the signal-to-interference-plus-noise ratio outage problem as well as the collision problem. It presents a Poisson approximation approach to model the queue evolution, which effectively captures the interdependence between the queue status and the RACH successes in each time slot. The chapter proposes the performance of the cellular-based mIoT network in each time slot with different schemes. The works on RACH has been mainly focused on minimizing the failure probabilities and the service delays.
