25 citations · 28 across the 23 of their papers we have counts for
13 papers · 1 filter
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…
AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions
Hao Liu, Bo Yang, Zhiwen Yu +4
The Internet of Vehicles (IoV) transforms the transportation ecosystem promising pervasive connectivity and data-driven approaches. Deep learning and generative Artificial Intellig…
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 Task Offloading and Resource Allocation in Low-Altitude MEC via Graph Attention Diffusion
Yifan Xue, Ruihuai Liang, Bo Yang +4
With the rapid development of the low-altitude economy, air-ground integrated multi-access edge computing (MEC) systems are facing increasing demands for real-time and intelligent…
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…
Dynamical ON-OFF Control with Trajectory Prediction for Multi-RIS Wireless Networks
Kaining Wang, Bo Yang, Yusheng Lei +5
Reconfigurable intelligent surfaces (RISs) have demonstrated an unparalleled ability to reconfigure wireless environments by dynamically controlling the phase, amplitude, and polar…
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…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks
Ruihuai Liang, Bo Yang, Pengyu Chen +6
Optimization is crucial for MEC networks to function efficiently and reliably, most of which are NP-hard and lack efficient approximation algorithms. This leads to a paucity of opt…
Computation Pre-Offloading for MEC-Enabled Vehicular Networks via Trajectory Prediction
Ting Zhang, Bo Yang, Zhiwen Yu +4
Task offloading is of paramount importance to efficiently orchestrate vehicular wireless networks, necessitating the availability of information regarding the current network statu…
DiffSG: A Generative Solver for Network Optimization with Diffusion Model
Ruihuai Liang, Bo Yang, Zhiwen Yu +5
Generative diffusion models, famous for their performance in image generation, are popular in various cross-domain applications. However, their use in the communication community h…
AI-Empowered Multiple Access for 6G: A Survey of Spectrum Sensing, Protocol Designs, and Optimizations
Xuelin Cao, Bo Yang, Kaining Wang +5
With the rapidly increasing number of bandwidth-intensive terminals capable of intelligent computing and communication, such as smart devices equipped with shallow neural network m…
Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method
Siyu Wang, Bo Yang, Zhiwen Yu +3
In this paper, we investigate a multi-user offloading problem in the overlapping domain of a multi-server mobile edge computing system. We divide the original problem into two stag…