Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on AI for Network
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Cited in SCI: 26
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: 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 AI for Network
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Cited in SCI: 20
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: 170306, doi: 10.1007/s11432-023-4011-4
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
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Cited in SCI: 19
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: 170303, doi: 10.1007/s11432-023-3987-y
Special Topic: Integration of Large AI Model and 6G
SCIS Selected Articles on AI+6G
SCIS Selected Articles on Large Language Models (LLM)
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Cited in SCI: 11
Keywords: radio frequency fingerprint identification; large language model; knowledge distillation; zero-trust security; 6G edge intelligence
Cite as: Gao N, Liu Y, Zhang Q F, et al. Let RFF do the talking: large language model enabled lightweight RFFI for 6G edge intelligence. Sci China Inf Sci, 2025, 68: 170308, doi: 10.1007/s11432-024-4463-0
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REVIEW
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Cited in SCI: 8
A survey on the network models applied in the industrial network optimization
Dong, Chao; Xiong, Xiaoxiong; Xue, Qiulin; Zhang, Zhengzhen; Niu, Kai; Zhang, Ping
Sci China Inf Sci, 2024, 67(2): 121301
Keywords: industrial network; small-scale network; large-scale network; graph theory; system entropy
Cite as: Dong C, Xiong X X, Xue Q L, et al. A survey on the network models applied in the industrial network optimization. Sci China Inf Sci, 2024, 67: 121301, doi: 10.1007/s11432-023-3868-6
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Cited in SCI: 2
Game-based computation offloading and resource allocation in stochastic geometry-modeling vehicular networks
Yang, Jianjie; Lin, Zhijian; Chen, Yingyang; Lu, Xiaoqiang; Fang, Yi
Sci China Inf Sci, 2024, 67(12): 229301
Keywords: vehicular networks; mobile edge computing; distributed computation offloading; game theory; stochastic geometry
Cite as: Yang J J, Lin Z J, Chen Y Y, et al. Game-based computation offloading and resource allocation in stochastic geometry-modeling vehicular networks. Sci China Inf Sci, 2024, 67: 229301, doi: 10.1007/s11432-024-4167-4
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Cited in SCI: 2
Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks
Deng, Xiumei; Li, Jun; Shi, Long; Wei, Kang; Ding, Ming; Shao, Yumeng; Chen, Wen; Jin, Shi
Sci China Inf Sci, 2024, 67(11): 219303
Keywords: digital twin; blockchain; Industrial Internet of Things; DNN partitioning; communication and computation resource allocation
Cite as: Deng X M, Li J, Shi L, et al. Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks. Sci China Inf Sci, 2024, 67: 219303, doi: 10.1007/s11432-024-4159-2
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Cited in SCI: 2
Keywords: fault diagnosis; self-healing network; support vector machine; feature extraction; cost-sensitive learning
Cite as: Wang Q, Pan Z W, Liu N. An ensemble and cost-sensitive learning-based root cause diagnosis scheme for wireless networks with spatially imbalanced user data distribution. Sci China Inf Sci, 2024, 67: 179301, doi: 10.1007/s11432-023-4055-1
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Cited in SCI: 2
Keywords: wireless network traffic prediction; causal discovery; self-supervised
Cite as: Wang D, Liu Y J, Song B. A credible traffic prediction method based on self-supervised causal discovery. Sci China Inf Sci, 2024, 67: 152303, doi: 10.1007/s11432-023-3899-1
Special Topic: Integrated Sensing and Communications Techniques for 6G
SCIS Selected Articles on ISAC
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Cited in SCI: 1
Measuring discrete sensing capability for ISAC via task mutual information
Shang, Fei; Du, Haohua; Yang, Panlong; He, Xin; Wang, Jingjing; Li, Xiang-Yang
Sci China Inf Sci, 2025, 68(5): 150308
Keywords: wireless sensing; ISAC; sensing channel; mutual information; sensing capabilit
Cite as: Shang F, Du H H, Yang P L, et al. Measuring discrete sensing capability for ISAC via task mutual information. Sci China Inf Sci, 2025, 68: 150308, doi: 10.1007/s11432-024-4374-y
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Keywords: optimal transport theory; edge computing; energy consumption reduction; dynamic voltage frequency scaling
Cite as: Lv X Y, Ge X H, Zhong Y, et al. Energy consumption optimization for edge computing-supported cellular networks based on optimal transport theory. Sci China Inf Sci, 2024, 67: 122302, doi: 10.1007/s11432-023-3855-5
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A new interference-resilient scalable networking for low altitude
Huang Y H, Ding H Y, Cao L, et al
Sci China Inf Sci, 2026, 69(3): 132305
Keywords: low-altitude scenario; co-channel interference; terrestrial cellular networking; scalable networking
Cite as: Huang Y H, Ding H Y, Cao L, et al. A new interference-resilient scalable networking for low altitude. Sci China Inf Sci, 2026, 69: 132305, doi: 10.1007/s11432-025-4684-x
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Keywords: information plane; resource management; edge computing; deep reinforcement learning; blockchain
Cite as: Wang D, Liang Z S, Song B. A knowledge-driven model selection and resource management method with information entropy. Sci China Inf Sci, 2026, 69: 132304, doi: 10.1007/s11432-025-4664-y
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Keywords: new radio vehicle-to-everything; video content dissemination; adaptive random network coding; deep reinforcement learning
Cite as: Ma J C, Shang B D, Yu Y, et al. Efficient adaptive random network coding for video content dissemination in NR-V2X networks. Sci China Inf Sci, 2026, 69: 132303, doi: 10.1007/s11432-025-4672-1
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Keywords: end-edge collaboration; multivariate time series; transmission outage; MANETs; disaster response
Cite as: Shi Y Y, Lu W D, Zhao N, et al. RFDR: a retransmission-free data reconstruction framework for emergency response networks. Sci China Inf Sci, 2026, 69: 122303, doi: 10.1007/s11432-024-4619-y
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Cited in SCI: 0
The field-based model: a new perspective on RF-based material sensing
Shang, Fei; Jiang, Haocheng; Yang, Panlong; Yan, Dawei; Du, Haohua; Li, Xiang-Yang
Sci China Inf Sci, 2026, 69(1): 112306
Keywords: RF sensing; material identification; Internet of Things; WiFi
Cite as: Shang F, Jiang H C, Yang P L, et al. The field-based model: a new perspective on RF-based material sensing. Sci China Inf Sci, 2026, 69: 112306, doi: 10.1007/s11432-024-4444-8
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Keywords: Smart distribution networks; Ubiquitous computing power networks; Computing power resource scheduling; Hypergraph convolution networks; Hypergraph
Cite as: Jing C F, Zhu X R. An efficient and fast computing power resource scheduling method for smart distribution networks based on hypergraph convolution networks. Sci China Inf Sci, 2025, 68: 219302, doi: 10.1007/s11432-025-4573-5
Special Topic: Integration of Large AI Model and 6G
SCIS Selected Articles on AI+6G
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Cited in SCI: 0
Diffusion-based auction mechanism for efficient resource management in 6G-enabled vehicular metaverses
Kang, Jiawen; Tong, Yongju; Zhong, Yue; Chen, Junlong; Xu, Minrui; Niyato, Dusit; Deng, Runrong; Mao, Shiwen
Sci China Inf Sci, 2025, 68(7): 170307
Keywords: auction model; diffusion; resource allocation; edge intelligence; large AI model
Cite as: Kang J W, Tong Y J, Zhong Y, et al. Diffusion-based auction mechanism for efficient resource management in 6G-enabled vehicular metaverses. Sci China Inf Sci, 2025, 68: 170307, doi: 10.1007/s11432-024-4424-3
