Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Towards semantic-based agent communication networks: vision, technologies, and challenges
Zhang P, Meng R, Xu X D, et al
Sci China Inf Sci, 2026, 69(10): 200301
Keywords: semantic communication; agentic AI; AI agent; intellicise wireless networks; intelligent and concise; communication and AI; ComAI
Cite as: Zhang P, Meng R, Xu X D, et al. Towards semantic-based agent communication networks: vision, technologies, and challenges. Sci China Inf Sci, 2026, 69: 200301, doi: 10.1007/s11432-026-5054-3

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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LEO satellites meet movable antennas: an SEEI entropy driven agentic AI cross-domain optimization framework
He Y Z, Lin Z, Feng Z M, et al
Sci China Inf Sci, 2026, 69(10): 200302
Keywords: LEO satellites; simultaneous wireless information and power transfer; generative AI; movable antenna; deep reinforcement learning
Cite as: He Y Z, Lin Z, Feng Z M, et al. LEO satellites meet movable antennas: an SEEI entropy driven agentic AI cross-domain optimization framework. Sci China Inf Sci, 2026, 69: 200302, doi: 10.1007/s11432-026-5056-5

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Agent-defined architecture: make 6G a conversational and thinking network
Sun T, Wang X Y, Liu C, et al
Sci China Inf Sci, 2026, 69(10): 200303
Keywords: 6G network; core network; AI agent; ADA; network architecture
Cite as: Sun T, Wang X Y, Liu C, et al. Agent-defined architecture: make 6G a conversational and thinking network. Sci China Inf Sci, 2026, 69: 200303, doi: 10.1007/s11432-026-5082-0

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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TokenCom: vision-language model for multimodal and multitask token communications
Jiang F B, Tu S W, Dong L, et al
Sci China Inf Sci, 2026, 69(10): 200304
Keywords: vision-language model; token communication; 6G; semantic communication; large language model
Cite as: Jiang F B, Tu S W, Dong L, et al. TokenCom: vision-language model for multimodal and multitask token communications. Sci China Inf Sci, 2026, 69: 200304, doi: 10.1007/s11432-026-5166-3

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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E3-Agent: an executable and evolving agent for resource management of edge generative inference
Bao R, Sun Y P, Chen Z Y, et al
Sci China Inf Sci, 2026, 69(10): 200305
Keywords: agentic edge computing; LLM agentic system; online learning; resource management; performance drift
Cite as: Bao R, Sun Y P, Chen Z Y, et al. E3-Agent: an executable and evolving agent for resource management of edge generative inference. Sci China Inf Sci, 2026, 69: 200305, doi: 10.1007/s11432-026-5035-1

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Keywords: multi-agent collaboration; large language models; wireless networks; communication media; bandwidth allocation
Cite as: Dai L P, Xiang L P, Yang K. A token/KV-cache communication media selection and resource allocation strategy for multi- agent collaboration. Sci China Inf Sci, 2026, 69: 200306, doi: 10.1007/s11432-026-5057-2

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Keywords: location privacy; vehicular metaverse; large AI model; generative diffusion model; 6G networks; agentic AI
Cite as: Luo X F, He J Y, Kang J W, et al. Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach. Sci China Inf Sci, 2026, 69: 200307, doi: 10.1007/s11432-026-5081-y

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Agentic AI-aided resource allocation for multi-task and multi-modal semantic commu- nications
Chen M K, Feng Z J, Zuo Y P, et al
Sci China Inf Sci, 2026, 69(10): 200308
Keywords: large AI model; network slice; resource optimization; semantic communication; Agentic AI
Cite as: Chen M K, Feng Z J, Zuo Y P, et al. Agentic AI-aided resource allocation for multi-task and multi-modal semantic commu- nications. Sci China Inf Sci, 2026, 69: 200308, doi: 10.1007/s11432-026-5058-0

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Keywords: integrated sensing and communication; large language model; beamforming design; low-rank adaptation; low-altitude networks; constrained optimization
Cite as: Ren P F, Wang J J, Wang Z W, et al. From general-purpose LLM to specialized beamforming for low-altitude ISAC networks: a LoRA-based multi-expert framework. Sci China Inf Sci, 2026, 69: 200309, doi: 10.1007/s11432-026-5066-4

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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In-context source and channel coding
Wang Z Q, Ren T Q, Li R P, et al
Sci China Inf Sci, 2026, 69(10): 200310
Keywords: SSCC; LLM-based arithmetic coding; ECCT; context-consistent decoding; candidate processing pipeline
Cite as: Wang Z Q, Ren T Q, Li R P, et al. In-context source and channel coding. Sci China Inf Sci, 2026, 69: 200310, doi: 10.1007/s11432-026-5067-6

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Diffusion model-based radio map reconstruction for low-altitude wireless networks
Liu H Y, Zhang S H, Liu Q Y, et al
Sci China Inf Sci, 2026, 69(10): 200311
Keywords: radio map; diffusion model; low-altitude network; route planning; UAV communication
Cite as: Liu H Y, Zhang S H, Liu Q Y, et al. Diffusion model-based radio map reconstruction for low-altitude wireless networks. Sci China Inf Sci, 2026, 69: 200311, doi: 10.1007/s11432-026-5053-5

Special Topic: 6G Networks: Large AI Model Technologies and Agentic AI Communication
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Consensus-optimized decentralized fine-tuning of foundation models for 6G agentic AI networks
Lyu X C, Yin S M, Ren C S, et al
Sci China Inf Sci, 2026, 69(10): 200312
Keywords: Agentic AI network; foundation model as agents; low-rank adaptation; dencentralized federated learning; consensus error
Cite as: Lyu X C, Yin S M, Ren C S, et al. Consensus-optimized decentralized fine-tuning of foundation models for 6G agentic AI networks. Sci China Inf Sci, 2026, 69: 200312, doi: 10.1007/s11432-026-5080-4