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Deep Learning based Efficient Edge Slicing for System Cost Minimization in Wireless Networks

Wei Jiang Daquan Feng Liping Qian Yao Sun

通信与信息网络学报（英文）2024，Vol.9Issue(2)：162-175,14.

Deep Learning based Efficient Edge Slicing for System Cost Minimization in Wireless Networks

Wei Jiang ¹Daquan Feng ²Liping Qian ¹Yao Sun³

作者信息

1. College of Information Engineering,Zhejiang Univer-sity of Technology,Hangzhou 310023,China
2. Shenzhen Key Laboratory of Digital Creative Technology,Guangdong Province Engineering Laboratory for Digital Creative Technol-ogy,College of Electronics and Information Engineering,Shenzhen Univer-sity,Shenzhen 518060,China
3. James Watt School of Engineering,University of Glasgow,G128QQ,Scotland,UK
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摘要

关键词

deep learning/mobile edge computing/user admission control/resource scheduling

Key words

deep learning/mobile edge computing/user admission control/resource scheduling

引用本文复制引用

Wei Jiang,Daquan Feng,Liping Qian,Yao Sun..Deep Learning based Efficient Edge Slicing for System Cost Minimization in Wireless Networks[J].通信与信息网络学报（英文）,2024,9(2):162-175,14.

基金项目

This work was supported in part by the National Natural Sci-ence Foundation of China under Grant 62302450,and in part by the Project Supported by Zhejiang Provincial Natural Science Foundation of China un-der Grant LQ24F020037. （）

通信与信息网络学报（英文）

ISSN：2096-1081

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