针对图像传输中令牌重要性差异，提出自适应保护方案提升抗损能力。
TokCom-UEP: Semantic Importance-Matched Unequal Error Protection for Resilient Image Transmission
- 按语义重要性分层编码，关键令牌优先保护
- 在低开销下实现三类语义恢复指标与频谱效率双提升
- 适合6G时代高鲁棒性图像传输场景
基于大模型的语义通信（TokCom）作为6G网络中可靠数据传输的关键范式，其现有设计多假设令牌重要性均等，采用等量错误保护（EEP）。然而，压缩后的1维令牌序列存在固有的非均匀语义重要性层级，使EEP方案性能受限。本文提出新型语义匹配不等错误保护框架TokCom-UEP，通过将源令牌划分为嵌套扩展窗口，赋予包含关键令牌的窗口更高选择概率，以确保其优先恢复。仿真结果表明，在低开销条件下，TokCom-UEP在三项核心语义恢复指标和频谱效率上均优于传统EEP方案。
原文摘要 · Abstract (English)
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.
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