Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction-Reference-Cited by-同舟云学术

Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction

Author:

Li Mi¹,Chen Cen²^ORCID,Yang Xulei³^ORCID,Zhou Joey Tianyi⁴,Zhang Tao⁵^ORCID,Li Yangfan⁶

Affiliation:

1. College of Information Science and Engineering, Jiaxing University, Jiaxing, China

2. School of Future Technology, South China University of Technology, Guangzhou, China

3. Institute for Infocomm Research (I2R), A*STAR, Connexis, Singapore

4. Centre for Frontier AI Research (CFAR) and Institute of High Performance Computing (IHPC), A*STAR, Connexis, Singapore

5. School of Computer Science and Engineering, Changsha University, Changsha, China

6. School of Computer Science and Engineering, Central South University, Changsha, China

Funder

Cultivation of Shenzhen Excellent Technological and Innovative Talents

Basic Research of Shenzhen Science and Technology Plan

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference46 articles.

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