On the Performance of End-to-End Cooperative NOMA-Based IoT Networks with Wireless Energy Harvesting

This paper studies the end-to-end uplink (UL) and downlink (DL)-outage probability (OP) of an Internet Things (IoT) network with radio frequency (RF) energy harvesting (EH) over Nakagami-m fading channels. Power-domain nonorthogonal multiple access (NOMA) is adopted to support both UL DL transmissions increase spectral efficiency. The system outage probabilities are analyzed where exact closed-form expressions derived. performance explored for various parameters such as time allocation EH, transmission power, conditions, number IoT devices (IoDs), data rate. obtained analytical results corroborated using Monte Carlo simulation operating scenarios. show that optimum may broadly vary based on parameters. Moreover, OP highly sensitive drastically if deviates from optimum. impact perfect successive interference cancellation (SIC) (PSIC) also evaluated compared imperfect SIC (ISIC), can be significantly underestimated PSIC assumption. Therefore, commonly used assumption cause substantial deviation practical case detection process experiences ISIC.