Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34070
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dc.contributor.authorJiang, Feibo-
dc.contributor.authorDong, Li-
dc.contributor.authorPan, Cunhua-
dc.contributor.authorWang, Kezhi-
dc.contributor.authorHuang, Yongming-
dc.contributor.authorYang, Kun-
dc.contributor.authorWang, Chengxiang-
dc.contributor.authorWang, Xianbin-
dc.contributor.authorJamalipour, Abbas-
dc.contributor.authorAl-Dhahir, Naofal-
dc.contributor.authorWang, Jiangzhou-
dc.contributor.authorYou, Xiaohu-
dc.date.accessioned2026-10-21T14:20:27Z-
dc.date.available2026-10-21T14:20:27Z-
dc.date.issued2026-
dc.identifier.citationJiang F, Dong L, Pan C, Wang K. Toward Native Intelligence in 6G: A Comprehensive Survey of Large Models and Agentic AI for Communications. Sci China Inf Sci, for review.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/34070-
dc.description.abstract...en_US
dc.description.sponsorshipNational Natural Science Foundation of China (Grant Nos. 00000000 and 11111111)en_US
dc.language.isoen_USen_US
dc.publisherScience China Pressen_US
dc.subject6Gen_US
dc.subjectLMsen_US
dc.subjectagentic AIen_US
dc.subjectLLMsen_US
dc.subjectsemantic communicationsen_US
dc.subjectISACen_US
dc.subjectedge intelligenceen_US
dc.subjectSAGINsen_US
dc.titleToward Native Intelligence in 6G: A Comprehensive Survey of Large Models and Agentic AI for Communicationsen_US
dc.typePreprinten_US
dc.relation.isPartOfSCIENCE CHINA Information Sciencesen_US
dcterms.issued2026-10-16-
dc.date.updated2026-10-16T10:50:37Z-
dc.contributor.orcidWang, Kezhi [0000-0001-8602-0800]-
Appears in Collections:Department of Computer Science Embargoed Research Papers

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