Improving Iot Efficiency By Noma: Delay Minimization In Massive Networks

Non-orthogonal multiple access (NOMA) is a promising technique, which can accommodate multiple users on the same spectrum by utilizing different power. The NOMA-based cellular architecture has been proposed to support a massive number of IoT devices in cellular networks. In this paper, we jointly consider user scheduling and power control to investigate the access delay minimization problem (ADMP) for the uplink NOMA networks with massive IoT devices. With benefits of NOMA, this research seeks to develop efficient resource allocation, scheduling, and interference management strategies to achieve low-latency communication for diverse IoT applications. We proposed a NOMA based secure transmission scheme, where the relay node not only received the privacy information but also provided securely information forwarding for the destination. It is divided into two sub system: User scheduling subproblem (USP) and Power control subproblem (PCP). For the USP, we first remodel it as the K-CUT problem in graph theory and then propose a cost-efficient algorithm to solve it. For the PCP, we devise a low-complexity power control algorithm based on the standard interference function. Simulation results indicate that our algorithm has good convergence and can significantly reduce the access delay in comparison with other schemes.