6G Native AI and Channel Foundation Models
arXiv 2608.14591•b0aabdf343f2d693ba3537d190df3c8d2a36c5670c3e8475f92dbe34f53aa1f8
6GAI-native-networksECGHAPSISACIoTMIMOO-RANarXivchannel-foundation-modelsedge-AIembedded-machine-learninglatent-diffusionmedical-AIresearchsemiconductor-process-controlwireless-communications
Paper metadata
- arXiv ID
- 2608.14591
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- b0aabdf343f2d693ba3537d190df3c8d2a36c5670c3e8475f92dbe34f53aa1f8
- Enrichment time
- 2026-08-18T08:51:33Z
- AI-assisted enrichment
- Yes
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