Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch

Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on 6G
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios
Li, Bo; Cheng, Guanjie; Gao, Honghao; Yan, Xueqiang; Deng, Shuiguang
Sci China Inf Sci, 2024, 67(7): 170301

Keywords: blockchain; distributed ledger technology; DLT; 6G; performance assessment; 6G scenarios analysis; transaction arrival rate

Cite as: Li B, Cheng G J, Gao H H, et al. Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios. Sci China Inf Sci, 2024, 67(7): 170301, doi: 10.1007/s11432-023-4054-5

Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on AI for Network
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers
Fang, Kai; Chen, Junxin; Zhu, Han; Gadekallu, Thippa Reddy; Wu, Xiaoping; Wang, Wei
Sci China Inf Sci, 2024, 67(7): 170302

Keywords: explainable AI; object localization; semidefinite relaxation; mobile transceiver; two-stage solution; closed-form solution

Cite as: Fang K, Chen J X, Zhu H, et al. Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers. Sci China Inf Sci, 2024, 67(7): 170302, doi: 10.1007/s11432-023-3968-9

Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on Network Security
SCIS Selected Articles on AI for Network
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks
Xu, Xiaolong; Wu, Fan; Bilal, Muhammad; Xia, Xiaoyu; Dou, Wanchun; Yao, Lina; Zhong, Weiyi
Sci China Inf Sci, 2024, 67(7): 170303

Keywords: deep reinforcement learning; DRL; explainable artificial intelligence; XAI; multi-level cache; content delivery network; CDN; D3QN algorithm; Deep-SHAP

Cite as: Xu X L, Wu F, Bilal M, et al. XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks. Sci China Inf Sci, 2024, 67(7): 170303, doi: 10.1007/s11432-023-3987-y

Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on Network Security
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection
Wei, Wei; Chen, Sijin; Chen, Cen; Wang, Heshi; Liu, Jing; Cheng, Zhongyao; Zou, Xiaofeng
Sci China Inf Sci, 2024, 67(7): 170304

Keywords: explainable artificial intelligence; light gradient boosting machine; machine learning; network intrusion detection; Shapley additive explanation; hybrid explainable neural network; HEN

Cite as: Wei W, Chen S J, Chen C, et al. HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection. Sci China Inf Sci, 2024, 67(7): 170304, doi: 10.1007/s11432-023-4067-x

Path signature-based XAI-enabled network time series classification
Sun, Le; Wang, Yueyuan; Ren, Yongjun; Xia, Feng
Sci China Inf Sci, 2024, 67(7): 170305

Keywords: network time series classification; explainable artificial intelligence; path signature; automated network management; recurrent neural network

Cite as: Sun L, Wang Y Y, Ren Y J, et al. Path signature-based XAI-enabled network time series classification. Sci China Inf Sci, 2024, 67(7): 170305, doi: 10.1007/s11432-023-3978-y

Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution
Cao, Bin; Zhao, Jianwei; Liu, Xin; Li, Yun
Sci China Inf Sci, 2024, 67(7): 170306

Keywords: 5G-and-beyond network; interpretable federated learning; mobile telemedicine system; fuzzy rough set theory; neuroevolution

Cite as: Cao B, Zhao J W, Liu X, et al. Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution. Sci China Inf Sci, 2024, 67(7): 170306, doi: 10.1007/s11432-023-4011-4