中文版 | English
Title

Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach

Author
Publication Years
2023
DOI
Source Title
ISSN
1941-0476
VolumePPIssue:99Pages:1-16
Keywords
URL[Source Record]
SUSTech Authorship
Others
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10048589
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/501519
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.School of Mathematics and Statistics/Beijing Key Laboratory on MCAACI, Beijing Institute of Technology, Beijing, China
2.State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
3.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
4.Shenzhen Research Institute of Big Data, Chinese University of Hong Kong, Shenzhen, China
Recommended Citation
GB/T 7714
Wei-Kun Chen,Ya-Feng Liu,Fan Liu,et al. Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach[J]. IEEE Transactions on Signal Processing,2023,PP(99):1-16.
APA
Wei-Kun Chen,Ya-Feng Liu,Fan Liu,Yu-Hong Dai,&Zhi-Quan Luo.(2023).Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach.IEEE Transactions on Signal Processing,PP(99),1-16.
MLA
Wei-Kun Chen,et al."Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach".IEEE Transactions on Signal Processing PP.99(2023):1-16.
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