Power allocation and scaling law analysis for secured and energy efficient URLLC IoT networks

Abstract

This paper investigates the security and energy efficiency of ultra-high reliability and low latency (URLLC) internet of things (IoT) networks. We first formulate an optimization problem to maximize the secured energy efficiency of the network based on a new capacity formula. We then seek an approximation to the original intractable cost function, and apply convex optimization methods to solve the approximated problem. Moreover, the statistical throughput of secured IoT networks is theoretically analyzed for the varying number of users by presenting a scaling law. The scaling factor is derived in analytical expression and proved to be of a concise form in the high transmit power regime. Numerical simulations are undertaken to demonstrate the near-optimal power allocation performance and the derived theoretical scaling law of the secured throughput of the whole URLLC IoT network.