Modeling and performance analysis of slotted ALOHA with interference cancellation for mMTC

We propose an analytical model to evaluate the performance of slotted ALOHA with NOMA for mMTC under the assumption that base stations and devices are distributed according to mutually independent stationary point processes. For NOMA, we consider a simple scenario in which perfect interference cancellation can be conducted at each base station. As performance metrics, we focus on the probability of a device successfully transmitting data to the nearest base station (transmission success probability) and the expected number of devices from which a base station can correctly decode the signals (throughput of base station). We establish analytical expressions for the two performance metrics for three schemes: simple slotted ALOHA, slotted ALOHA with interference cancellation, and slotted ALOHA with power control. Through several numerical experiments, we show that the application of interference cancellation improves the throughput by up to 20%; however, the application of interference cancellation does not solve the near-far problem. We also show that the application of power control solves the near-far problem but significantly degrades the performance of slotted ALOHA.