Special Topic: Integration of Large AI Model and 6G
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On privacy, security, and trustworthiness in distributed wireless large AI models
Yang, Zhaohui; Xu, Wei; Liang, Le; Cui, Yuanhao; Qin, Zhijin; Debbah, Merouane
Sci China Inf Sci, 2025, 68(7): 170301
Keywords: large AI model; privacy and security; 6G and beyond
Cite as: Yang Z H, Xu W, Liang L, et al. On privacy, security, and trustworthiness in distributed wireless large AI models. Sci China Inf Sci, 2025, 68(7): 170301, doi: 10.1007/s11432-024-4465-3
Special Topic: Integration of Large AI Model and 6G
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Satellite edge artificial intelligence with large models: architectures and technologies
Shi, Yuanming; Zhu, Jingyang; Jiang, Chunxiao; Kuang, Linling; Ben Letaief, Khaled
Sci China Inf Sci, 2025, 68(7): 170302
Keywords: large AI models; LAMs; satellite edge LAM; space-computing power networks; Space-CPNs; satellite federated fine-tuning; microservice-empowered satellite edge LAM inference
Cite as: Shi Y M, Zhu J Y, Jiang C X, et al. Satellite edge artificial intelligence with large models: architectures and technologies. Sci China Inf Sci, 2025, 68(7): 170302, doi: 10.1007/s11432-024-4425-y
Special Topic: Integration of Large AI Model and 6G
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Towards wireless native big AI model: the mission and approach differ from large language model
Chen, Zirui; Zhang, Zhaoyang; Liu, Chenyu; Xing, Ziqing
Sci China Inf Sci, 2025, 68(7): 170303
Keywords: wireless artificial intelligence; foundation model; wireless big AI model
Cite as: Chen Z R, Zhang Z Y, Liu C Y, et al. Towards wireless native big AI model: the mission and approach differ from large language model. Sci China Inf Sci, 2025, 68(7): 170303, doi: 10.1007/s11432-024-4464-8
Special Topic: Integration of Large AI Model and 6G
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FAS-assisted federated learning over wireless communication systems
Xu, Hao; Wong, Kai-Kit; Zhu, Yongxu; Huang, Chongwen; Wang, Chao; New, Wee Kiat; Ghadi, Farshad Rostami; Zhou, Gui
Sci China Inf Sci, 2025, 68(7): 170304
Keywords: fluid antenna system; federated learning; multiple access; energy efficiency
Cite as: Xu H, Wong K-K, Zhu Y X, et al. FAS-assisted federated learning over wireless communication systems. Sci China Inf Sci, 2025, 68(7): 170304, doi: 10.1007/s11432-024-4433-9
Special Topic: Integration of Large AI Model and 6G
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Personalizing rate-splitting in vehicular communication via large multi-modal model
Zhang, Shengyu; Zhang, Shiyao; Yuan, Weijie; Shi, Jia; Li, Zan; Quek, Tony Q. S.
Sci China Inf Sci, 2025, 68(7): 170305
Keywords: large multi-modal model; rate-splitting multiple access; predictive beamforming; road semantic; vehicle-to-everything
Cite as: Zhang S Y, Zhang S Y, Yuan W J, et al. Personalizing rate-splitting in vehicular communication via large multi-modal model. Sci China Inf Sci, 2025, 68(7): 170305, doi: 10.1007/s11432-024-4423-4
Special Topic: Integration of Large AI Model and 6G
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Large AI model for delay-Doppler domain channel prediction in 6G OTFS- based vehicular networks
Xue, Jianzhe; Yuan, Dongcheng; Ma, Zhanxi; Jiang, Tiankai; Sun, Yu; Zhou, Haibo; Shen, Xuemin
Sci China Inf Sci, 2025, 68(7): 170306
Keywords: large AI model; channel prediction; delay-Doppler domain; OTFS; vehicular networks
Cite as: Xue J Z, Yuan D C, Ma Z X, et al. Large AI model for delay-Doppler domain channel prediction in 6G OTFS- based vehicular networks. Sci China Inf Sci, 2025, 68(7): 170306, doi: 10.1007/s11432-024-4426-0
Special Topic: Integration of Large AI Model and 6G
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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(7): 170307, doi: 10.1007/s11432-024-4424-3
Special Topic: Integration of Large AI Model and 6G
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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(7): 170308, doi: 10.1007/s11432-024-4463-0
Special Topic: Integration of Large AI Model and 6G
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Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via a large deep residual network
Wang, Yan; Li, Yongqiang; Chen, Minghao; Yao, Yu; Shu, Feng; Wang, Jiangzhou
Sci China Inf Sci, 2025, 68(7): 170309
Keywords: deep residual network; channel estimation; intelligent reflecting surface; near-field communication; multi-user
Cite as: Wang Y, Li Y Q, Chen M H, et al. Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via a large deep residual network. Sci China Inf Sci, 2025, 68(7): 170309, doi: 10.1007/s11432-024-4449-7
