Learn to Schedule: Data Freshness-Oriented Intelligent Scheduling in Industrial IoT

J Tang, F Chen, J Li, Z Liu - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
In the context of the Industrial Internet of Things (IIoT), develo** an accurate and timely
scheduling policy is essential. Recently, the Age of Incorrect Information (AoII) is proposed …

Joint Transmission Mode Selection and Scheduling for AoI Minimization in NOMA-Capable WP-IoT Networks: A Deep Transfer Learning Solution

S Li, HC Yang, F Hu - IEEE Transactions on Communications, 2025 - ieeexplore.ieee.org
Age of information (AoI) serves as a key metric for characterizing information freshness. In
this article, we investigate the AoI minimization of a non-orthogonal multiple access (NOMA) …

Lyapunov-guided Deep Reinforcement Learning for Semantic-aware AoI Minimization in UAV-assisted Wireless Networks

Y Long, S Gong, S Sun, G Lee, L Li… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper investigates an unmanned aerial vehicle (UAV)-assisted semantic network
where the ground users (GUs) periodically capture and upload the sensing information to a …

Analysis of Hierarchical AoII over unreliable channel: A Stochastic Hybrid System Approach

H Xu, J Li, J Zhang, T Song, Y Xu - arxiv preprint arxiv:2411.15703, 2024 - arxiv.org
In this work, we generalize the Stochastic Hybrid Systems (SHSs) analysis of traditional AoI
to the AoII metric. Hierarchical ageing processes are adopted using the continuous AoII for …