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20222024
most citedLarge Language Models for Networking: Applications, Enabling Techniques, and Challenges

2 citations · 3 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.NI2024

Programmable Cycle-Specified Queue for Long-Distance Industrial Deterministic Packet Scheduling

Yudong Huang, Shuo Wang, Shiyin Zhu +4

The time-critical industrial applications pose intense demands for enabling long-distance deterministic networks. However, previous priority-based and weight-based scheduling metho…

cs.NI2024

CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks

Yudong Huang, Tao Huang, Xinyuan Zhang +4

Booming time-critical services, such as automated manufacturing and remote operations, stipulate increasing demands for facilitating large-scale Industrial Internet of Things (IoT)…

cs.NI2023★ 2 cited

Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

Yudong Huang, Hongyang Du, Xinyuan Zhang +5

The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a w…

cs.NI2023★ 1 cited

AI-Generated Network Design: A Diffusion Model-based Learning Approach

Yudong Huang, Minrui Xu, Xinyuan Zhang +4

The future networks pose intense demands for intelligent and customized designs to cope with the surging network scale, dynamically time-varying environments, diverse user requirem…

cs.NI2022

Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks

Weiqian Tan, Binwei Wu, Shuo Wang +1

IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive Networking (TSN) which aims to provide bounded transmission delays and ultra-low jitters in industrial local…

cs.NI2022

Flexible Design on Deterministic IP Networking for Mixed Traffic Transmission

Binwei Wu, Shuo Wang, Jiasen Wang +2

Deterministic IP (DIP) networking is a promising technique that can provide delay-bounded transmission in large-scale networks. Nevertheless, DIP faces several challenges in the mi…