Explainable Task-Oriented Token Communication for AI-Native 6G Networks 文章

ArXiv CS.CV2026-06-16NEWSen作者: Feibo Jiang, Lei Mao, Li Dong, Kezhi Wang, Cunhua Pan, Jiangzhou Wang

详细信息

来源站点
ArXiv CS.CV
作者
Feibo Jiang, Lei Mao, Li Dong, Kezhi Wang, Cunhua Pan, Jiangzhou Wang
文章类型
NEWS
语言
en
发布日期
2026-06-16

摘要

arXiv:2606.14808v1 Announce Type: cross Abstract: The integration of Foundation Models (FMs) and wireless communications is driving the evolution of image communication from bit-accurate transmission toward task-oriented transmission. However, existing task-oriented image communication methods still face three major challenges: insufficient task-oriented Token representation, inadequate collaboration between Visual Tokens and Task Tokens, and limited interpretability of task decisions. To address these challenges, we propose an Explainable Task-Oriented Token Communication (ET-TokenCom) framework. By treating Tokens as unified units for information representation and transmission, the proposed framework constructs an end-to-end communication link that spans visual perception, wireless transmission, and task reasoning. At the transmitter, the ET-TokenCom framework extracts Visual Tokens from images to preserve low-level visual information.

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