Delay Optimization in IoT Networks Using NOMA with Scheduling and Power Control

– This project presents a MATLAB-based simulation for optimizing delay in massive IoT networks using Non-Orthogonal Multiple Access (NOMA). Unlike traditional orthogonal systems, NOMA enables multiple users to transmit simultaneously by allocating different power levels, significantly enhancing spectral efficiency and reducing transmission delay (Ding et al., 2017 [5]; Liu et al., 2018 [6]). We implemented two core components: a user scheduling algorithm based on simplified K-CUT principles to minimize intra-group interference (Yang et al., 2020 [14]) and a power control algorithm using Standard Interference Function (SIF) theory to allocate power while meeting minimum SINR thresholds (Ren et al., 2023 [20]). Delay for each user is modeled using an exponential decay function over multiple iterations, influenced by power levels (Chen et al., 2021 [9]). The final output includes a delay-vs-iteration plot for each user and console outputs of user groups and power allocations. This simulation captures the performance improvements enabled by NOMA-based access, making it a valuable tool for visualizing and validating delay optimization strategies in future IoT systems (Zhai et al., 2019 [2]; Wang et al., 2020 [8]). 2019 [2]; Wang et al., 2020 [8]).