  The technological landscape is swiftly advancing towards large-scale systems,
creating significant opportunities, particularly in the domain of Terahertz
(THz) communications. Networks designed for massive connectivity, comprising
numerous Internet of Things (IoT) devices, are at the forefront of this
advancement. In this paper, we consider Wireless Power Transfer (WPT)-enabled
networks that support these IoT devices with massive Ultra-Reliable and
Low-Latency Communication (mURLLC) services.The focus of such networks is
information freshness, with the Age-of-Information (AoI) serving as the pivotal
performance metric. In particular, we aim to minimize the maximum AoI among IoT
devices by optimizing the scheduling policy. Our analytical findings establish
the convexity property of the problem, which can be solved efficiently.
Furthermore, we introduce the concept of AoI-oriented cluster capacity,
examining the relationship between the number of supported devices and the AoI
performance in the network. Numerical simulations validate the advantage of our
proposed approach in enhancing AoI performance, indicating its potential to
guide the design of future THz communication systems for IoT applications
requiring mURLLC services.
