  The Internet of Things (IoT) has a significant demand in society due to its
features, and it is constantly improving. In the context of wireless
technology, Ultra-reliable and low-latency communication (URLLC) is one of the
essential and challenging services in fifth-generation (5G) networks and
beyond. The research on URLLC is still in its early stages due to its
conflicting requirements, regarding high reliability and low latency. In this
paper, we study the performance of secure short-packet communications and
resource allocation in IoT systems. To this end, we investigate a health center
automation, where the goal of the access point is to send critical messages to
devices without eavesdropping. In this context, our goal is to maximize the
weighted sum throughput and minimize the total transmit power, respectively.
The problems of maximizing the weighted sum throughput, and minimizing the
total transmit power are non-convex and hard to solve. To overcome this
challenge, we use efficient mathematical techniques, such as the block
coordinate descent (BCD) method and gradient ascent algorithm; we also use
estimation methods such as Ralston, Heun, and forward-backward, in the
derivative part of the gradient ascent algorithm. The simulation results show
the performance advantages of the BCD algorithm and the gradient ascent in the
short packet transmission scheme, also the simulation results show the
superiority of the proposed methods in most cases.

Systems and Control;Systems and Control;Signal Processing