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From the 1 of 16 linked papers with an AI index.

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cs.NI2026

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…

cs.NI2026

Trajectory-Aware Multi-RIS Activation and Configuration: A Riemannian Diffusion Method

Kaining Wang, Bo Yang, Yusheng Lei +8

Reconfigurable intelligent surfaces (RISs) offer a low-cost, energy-efficient means for enhancing wireless coverage. Yet, their inherently programmable reflections may unintentiona…

cs.NI2026

Interference Propagation Analysis for Large-Scale Multi-RIS-Empowered Wireless Communications:An Epidemiological Perspective

Kaining Wang, Xueyao Zhang, Bo Yang +8

Reconfigurable intelligent surfaces (RISs) have gained significant attention in recent years due to their ability to control the reflection of radio-frequency signals and reshape t…

cs.NI2026

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…

cs.NI2025

3D Gaussian Radiation Field Modeling for Integrated RIS-FAS Systems: Analysis and Optimization

Kaining Wang, Bo Yang, Yusheng Lei +7

The integration of reconfigurable intelligent surfaces (RIS) and fluid antenna systems (FAS) has attracted considerable attention due to its tremendous potential in enhancing wirel…

cs.NI2025

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…