In the context of the increasing integration of renewable energy sources (RES) and smart
devices in domestic applications, the implementation of Home Energy Management …

Industrial networks are undergoing rapid transformation driven by the convergence of
emerging technologies that are revolutionizing conventional workflows, enhancing …

Achieving real-time decision-making and efficient resource management in dynamic, large-
scale Internet-of-Vehicles (IoV) networks is a significant challenge due to their inherent …

This article investigates the adaptive resource allocation scheme for digital twin (DT)
synchronization optimization over dynamic wireless networks. In our considered model, a …

With the advancement of the large language model (LLM), the demand for data labeling
services has increased dramatically. Big models are inseparable from high-quality …

As mobile augmented reality (MAR) continues to evolve, future 6G networks will play a
pivotal role in supporting immersive and personalized user experiences. In this paper, we …

This paper presents a hybrid machine-learning framework for optimizing 3-Dimensional (3D)
Unmanned Aerial Vehicles (UAV) node localization and resource distribution in UAV …

The rapid evolution of 5G and beyond has advanced space-air-terrestrial networks, with
unmanned aerial vehicles (UAVs) offering enhanced coverage, flexible configurations, and …

With the rapid development of artificial intelligence technology, the field of reinforcement
learning has continuously achieved breakthroughs in both theory and practice. However …

The development of Digital Twins (DTs) represents a transformative advance for simulating
and optimizing complex systems in a controlled digital space. Despite their potential, the …