Performance of Downlink NOMA for a Massive IoT Network Over a Nakagami-<i>m</i> Fading Channel With Optimized Power Allocation

Non-orthogonal multiple access (NOMA) is a technology that can provide efficient spectrum utilization and increased channel capacity on Internet of Things (IoT) networks. One factor affecting NOMA system performance in the IoT network allocation power for each user. To improve system, this paper presents method optimizing an with Lagrange multiplier using Karush-Kuhn-Tucker (KKT) condition. The optimization will result optimal solution to maximize maximum transmit constraint function minimum data rate users. achieved by was observed Nakagami-m fading imperfect successive interference cancellation (imp-SIC). proposed compared orthogonal (OMA) conventional (C-NOMA) techniques. results show coefficient KKT conditions significantly increases OMA C-NOMA methods.