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20232026
most citedDiffusion Models as Network Optimizers: Explorations and Analysis

25 citations · 25 across the 23 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

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.LG2024★ 25 cited

Diffusion Models as Network Optimizers: Explorations and Analysis

Ruihuai Liang, Bo Yang, Pengyu Chen +8

Network optimization is a fundamental challenge in the Internet of Things (IoT) network, often characterized by complex features that make it difficult to solve these problems. Rec…

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.DC2024

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis

Xueyao Zhang, Bo Yang, Zhiwen Yu +5

This paper investigates autonomous driving safety improvement via task offloading from cellular vehicles (CVs) to a multi-access edge computing (MEC) server using vehicle-to-infras…

cs.IT2024

Filtering Reconfigurable Intelligent Computational Surface for RF Spectrum Purification

Kaining Wang, Bo Yang, Zhiwen Yu +3

The increasing demand for communication is degrading the electromagnetic (EM) transmission environment due to severe EM interference, significantly reducing the efficiency of the r…

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.DC2024

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks

Bo Yang, Xueyao Zhang, Zhiwen Yu +6

In this paper, we focus on improving autonomous driving safety via task offloading from cellular vehicles (CVs), using vehicle-to-infrastructure (V2I) links, to an multi-access edg…