16 papers
Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems
Xueyao Zhang, Chenyang Yan, Bo Yang +6
The paper proposes a multi‑agent reinforcement learning framework that quantifies the value of sensed information to enable collaborative, covert operations among autonomous underw…
Cross-Problem Solving for Network Optimization: Is Problem-Aware Learning the Key?
Ruihuai Liang, Bo Yang, Pengyu Chen +4
As intelligent network services continue to diversify, ensuring efficient and adaptive resource allocation in edge networks has become increasingly critical. Yet the wide functiona…
Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions
Bo Yang, Ruihuai Liang, Weixin Li +8
While interest in the application of generative AI (GenAI) in network optimization has surged in recent years, its rapid progress has often overshadowed critical limitations intrin…
Joint Optimization of Cooperation Efficiency and Communication Covertness for Target Detection with AUVs
Xueyao Zhang, Bo Yang, Zhiwen Yu +10
This paper investigates underwater cooperative target detection using autonomous underwater vehicles (AUVs), with a focus on the critical trade-off between cooperation efficiency a…
Generative AI-enhanced Low-Altitude UAV-Mounted Stacked Intelligent Metasurfaces
Geng Sun, Mingzhe Fan, Lei Zhang +6
Wireless communication systems face challenges in meeting the demand for higher data rates and reliable connectivity in complex environments. Stacked intelligent metasurfaces (SIMs…
Optimization for Massive 3D-RIS Deployment: A Generative Diffusion Model-Based Approach
Kaining Wang, Bo Yang, Zhiwen Yu +3
Reconfigurable Intelligent Surfaces (RISs) transform the wireless environment by modifying the amplitude, phase, and polarization of incoming waves, significantly improving coverag…