6G Native AI and Channel Foundation Models
The integration of artificial intelligence (AI) and wireless communications is widely regarded as a core objective of sixth-generation (6G) systems. However, both the meaning of native AI and the type of AI capability that should be embedded into future wireless systems remain open to interpretation. This paper discusses 6G native AI from a system-design perspective and argues that native AI should be co-designed, optimized, and deployed as an intrinsic component of the wireless system rather than as a removable post-deployment add-on. From this perspective, conventional task-specific supervised models are difficult to use as the main technical basis of native AI because they depend heavi...
| Authors | Shugong Xu, Jun Jiang, Yuan Gao |
|---|---|
| Primary category | eess.SP |
| Published | 24 June 2026 |
| Last updated at source | 24 June 2026 |
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