针对无线视频传输中关键帧丢失问题，提出抗损通信框架提升重建质量。
Loss-Resilient Wireless Video Token Communication over Block Fading Channels
- 基于视频令牌重要性与时间相关性，动态分配传输优先级。
- 在高误码率下仍保持更优主观画质与平滑退化表现。
- 适合低时延实时视频传输场景，尤其适用于移动网络环境。
视频令牌通信将视频内容表示为离散令牌，其重要性不同且存在时间依赖性。当这些令牌分组传输时，块衰落可能导致多个重要或相关令牌同时丢失，严重损害视频重建质量。为此，本文提出一种抗损无线视频令牌通信（WVTC）框架。WVTC从视频令牌的内在预测结构评估重要性，对结构型I令牌赋予高优先级，并通过时间邻域新颖性衡量P令牌的重要性。采用打乱混合I/P令牌的分组方案，将结构锚点与相关时间区域分散至各数据包。仅使用当前块信道状态信息，在线调度器联合考虑包重要性密度、依赖调制编码策略的解码可靠性、块容量及重要性集中度，以分配数据包至衰落块。接收端通过微调解令牌器，利用幸存令牌重构缺失内容，无需重传。数值结果表明，在递增的包错误率下，该方法显著提升感知质量并实现更平滑的退化性能。
原文摘要 · Abstract (English)
Video token communication represents video content as discrete tokens that differ in their importance to reconstruction and exhibit temporal dependencies. When these tokens are packetized for wireless transmission, block fading can cause multiple important or correlated tokens to be lost together, severely degrading video reconstruction. To address this issue, we propose a loss-resilient wireless video token communication (WVTC) framework. WVTC evaluates token importance from the intrinsic predictive structure of video tokens, assigning high priority to structural I-tokens and measuring P-token importance by temporal neighborhood novelty. A shuffled mixed I/P-token packetization scheme disperses structural anchors and correlated temporal regions across packets. Using only current block channel state information, an online scheduler jointly considers packet importance density, MCS-dependent decoding reliability, block capacity, and importance concentration when allocating packets to fading blocks. At the receiver, a fine-tuned detokenizer reconstructs missing content from surviving tokens without retransmission. Numerical results demonstrate improved perceptual quality and more graceful degradation under increasing packet error rates.
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