activity
20202026
most citedDiffusion Models as Network Optimizers: Explorations and Analysis

25 citations · 33 across the 37 of their papers we have counts for

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22 papers · 1 filter

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.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…

cs.NI2025

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…

cs.NI2025

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

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…

cs.NI2025

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…

cs.NI2025

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.NI2024

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…

cs.NI2024

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…

cs.NI2024

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…

cs.NI2024

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…

cs.NI2024

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…

cs.NI2023★ 1 cited

Massive Access of Static and Mobile Users via Reconfigurable Intelligent Surfaces: Protocol Design and Performance Analysis

Xuelin Cao, Bo Yang, Chongwen Huang +5

The envisioned wireless networks of the future entail the provisioning of massive numbers of connections, heterogeneous data traffic, ultra-high spectral efficiency, and low latenc…

cs.NI2022

Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks

Bo Yang, Xuelin Cao, Chongwen Huang +6

Increasing concerns on intelligent spectrum sensing call for efficient training and inference technologies. In this paper, we propose a novel federated learning (FL) framework, dub…

cs.NI2021

HAP-Reserved Communications in Space-Air-Ground Integrated Networks

Xuelin Cao, Bo Yang, Chau Yuen +1

Terrestrial communication networks have experienced significant development in recent years by providing emerging services for ground users. However, one critical challenge raised…

cs.NI2021★ 2 cited

Converged Reconfigurable Intelligent Surface and Mobile Edge Computing for Space Information Networks

Xuelin Cao, Bo Yang, Chongwen Huang +4

Space information networks (SIN) are facing an ever-increasing thirst for high-speed and high-capacity seamless data transmission due to the integration of ground, air, and space c…

cs.NI2021★ 1 cited

AI-Assisted MAC for Reconfigurable Intelligent Surface-Aided Wireless Networks: Challenges and Opportunities

Xuelin Cao, Bo Yang, Chongwen Huang +6

Recently, significant research attention has been devoted to the study of reconfigurable intelligent surfaces (RISs), which are capable of reconfiguring the wireless propagation en…

cs.NI2021

A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks

Bo Yang, Omobayode Fagbohungbe, Xuelin Cao +4

In this paper, we propose a transfer learning (TL)-enabled edge-CNN framework for 5G industrial edge networks with privacy-preserving characteristic. In particular, the edge server…

cs.NI2021★ 4 cited

Reconfigurable Intelligent Surface-Assisted Aerial-Terrestrial Communications via Multi-Task Learning

Xuelin Cao, Bo Yang, Chongwen Huang +4

The aerial-terrestrial communication system constitutes an efficient paradigm for supporting and complementing terrestrial communications. However, the benefits of such a system ca…

cs.NI2021

Reconfigurable Intelligent Surface-Assisted MAC for Wireless Networks: Protocol Design, Analysis, and Optimization

Xuelin Cao, Bo Yang, Hongliang Zhang +3

Reconfigurable intelligent surface (RIS) is a promising reflective radio technology for improving the coverage and rate of future wireless systems by reconfiguring the wireless pro…