Highly Cited in 202401 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Multi-stream signals separation based on space-time-isomeric (SPATIO) array using metasurface antennas
Lou, Yangming; Jin, Liang; Wang, Huiming; Zhong, Zhou; Dai, Junyan
Sci China Inf Sci, 2024, 67(2): 122301
Keywords: multiple-input multiple-output; metasurface antenna; space-time-isomeric array; multipath channel; degree of freedom
Cite as: Lou Y M, Jin L, Wang H M, et al. Multi-stream signals separation based on space-time-isomeric (SPATIO) array using metasurface antennas. Sci China Inf Sci, 2024, 67(2): 122301, doi: 10.1007/s11432-023-3788-y

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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(2): 121301, doi: 10.1007/s11432-023-3868-6

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Design of double protograph LDPC codes based JSCC systems via the ACE-PEG algorithm
Lv Y J, He J G, Hong S H, et al
Sci China Inf Sci, 2024, 67(7): 179305
Keywords: double protograph low-density parity-check codes; joint source-channel coding; approximated cycle extrinsic message degree; higher-degree variable nodes; parallel differential evolutionary algorithm
Cite as: Lv Y J, He J G, Hong S H, et al. Design of double protograph LDPC codes based JSCC systems via the ACE-PEG algorithm. Sci China Inf Sci, 2024, 67(7): 179305, doi: 10.1007/s11432-024-4074-y

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Channel modeling for MI-based wireless underground sensor networks with conductive objects
Deng S H, Liu G H, Chen Z W, et al
Sci China Inf Sci, 2024, 67(7): 179302
Keywords: channel modeling; magnetic induction; wireless underground sensor networks; equivalent circuit; conductive objects
Cite as: Deng S H, Liu G H, Chen Z W, et al. Channel modeling for MI-based wireless underground sensor networks with conductive objects. Sci China Inf Sci, 2024, 67(7): 179302, doi: 10.1007/s11432-023-4024-2

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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(7): 179301, doi: 10.1007/s11432-023-4055-1

Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
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Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution
Cao B, Zhao J W, Liu X, et al
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

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

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Beamforming design for covert broadcast communication with hidden adversary
Chen W Y, Ding H Y, Wang S L, et al
Sci China Inf Sci, 2024, 67(6): 162304
Keywords: low-probability-of-detection communication; multiple antennas; covertness performance; uncertain position; parameters optimization
Cite as: Chen W Y, Ding H Y, Wang S L, et al. Beamforming design for covert broadcast communication with hidden adversary. Sci China Inf Sci, 2024, 67(6): 162304, doi: 10.1007/s11432-023-3971-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

A credible traffic prediction method based on self-supervised causal discovery
Wang, Dan; Liu, Yingjie; Song, Bin
Sci China Inf Sci, 2024, 67(5): 152303
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(5): 152303, doi: 10.1007/s11432-023-3899-1

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Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning
Zhou, Xuanhan; Xiong, Jun; Zhao, Haitao; Liu, Xiaoran; Ren, Baoquan; Zhang, Xiaochen; Wei, Jibo; Yin, Hao
Sci China Inf Sci, 2024, 67(3): 132302
Keywords: unmanned aerial vehicle; UAV; trajectory design; resource allocation; multi-agent deep reinforcement learning; MADRL; heterogeneous agents
Cite as: Zhou X H, Xiong J, Zhao H T, et al. Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning. Sci China Inf Sci, 2024, 67(3): 132302, doi: 10.1007/s11432-023-3906-3