TokCom-UEP：面向鲁棒图像传输的语义重要性匹配非均匀差错保护 (TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission)

Based on the provided LaTeX code, here is the metadata for the submission form: Title: TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission Author(s): Kaizheng Zhang, Zuolin Jin, Zhihang Cheng, Ming Zeng, Li Qiao, Zesong Fei Abstract: Token communication (TokCom), an emerging semantic communication framework powered by Large Multimodal Model (LMM), has become a key paradigm for resilient data transmission in 6G networks. A key limitation of existing TokCom designs lies in the assumption of uniform token importance, which leads to the adoption of equal error protection (EEP). However, compressed one-dimensional (1D) token sequences inherently exhibit heterogeneous semantic importance hierarchies, rendering EEP schemes suboptimal. To address this, this paper proposes TokCom-UEP, a novel semantic importance-matched unequal error protection (UEP) framework designed for resilient image transmission. TokCom-UEP integrates rateless UEP coding with the non-uniform semantic importance of tokens by partitioning source tokens into nested expanding windows, assigning higher selection probabilities to windows containing critical tokens to ensure their prioritized recovery. Simulation results demonstrate that TokCom-UEP outperforms EEP schemes in terms of three core semantic restoration metrics and spectral efficiency under low-overhead conditions.

翻译：基于所提供LaTeX代码，以下是提交表单的元数据：标题：TokCom-UEP：面向鲁棒图像传输的语义重要性匹配非均匀差错保护作者：Kaizheng Zhang, Zuolin Jin, Zhihang Cheng, Ming Zeng, Li Qiao, Zesong Fei摘要：令牌通信（TokCom）作为一种由大型多模态模型（LMM）驱动的新兴语义通信框架，已成为6G网络中鲁棒数据传输的关键范式。现有TokCom设计的一个关键局限在于假设令牌重要性均匀，导致采用等差错保护（EEP）方案。然而，压缩后的一维（1D）令牌序列本质上呈现异构的语义重要性层级，使得EEP方案并非最优。为此，本文提出TokCom-UEP，一种专为鲁棒图像传输设计的新型语义重要性匹配非均匀差错保护（UEP）框架。TokCom-UEP通过将源令牌划分为嵌套扩展窗口，将无速率UEP编码与令牌的非均匀语义重要性相结合，为包含关键令牌的窗口分配更高选择概率，以确保其优先恢复。仿真结果表明，在低开销条件下，TokCom-UEP在三个核心语义恢复指标和频谱效率方面均优于EEP方案。