Work

Mixture of Experts-Enabled Parallel Scheduling and Processing for Vehicular Generative AI Services

Year: 2025

Type: article

Source: IEEE Transactions on Cognitive Communications and Networking

DOI: 10.1109/tccn.2025.3571753

Authors: Gaochang Xie, Zehui Xiong, Renchao Xie, Xiumei Deng, Song Guo, Mohsen Guizani, Zhu Han

Institutions: Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Singapore University of Technology and Design, Hong Kong University of Science and Technology, Mohamed bin Zayed University of Artificial Intelligence, University of Houston

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China, Toyota Motor Corporation

Awards: G1970151165, FW-HTF-R/Collaborative Research: FAIR4WISE: Future AI and Robotics for Women in Smart Engineering, Excellence in Research: Research Capacity and Partnerships Building in Next-Generation Communication Ecosystems with Vertical Intelligence

OpenAlex ID: W4410537882

FWCI: 3.471

Cites: 30

Cited by: 8

Related to: 10