发表机构
Shanghai Jiao Tong University; Singapore University of Technology and Design（上海交通大学; 新加坡科技设计大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对块衰落信道下无线视频令牌传输的丢包问题，提出WVTC框架，通过评估令牌重要性、混合打包与在线调度优化，实现无需重传的高质量视频重建，提升抗误码性能。
AI 中文摘要
视频令牌通信将视频内容表示为离散令牌，这些令牌对重建的重要性不同且呈现时间依赖性。当这些令牌被打包用于无线传输时，块衰落会导致多个重要或相关令牌同时丢失，严重降低视频重建质量。为解决该问题，我们提出一种抗丢包无线视频令牌通信（WVTC）框架。WVTC从视频令牌的内在预测结构评估令牌重要性，为结构I-令牌分配高优先级，并通过时间邻域新颖性测量P-令牌的重要性。一种打乱的混合I/P令牌打包方案将结构锚点和相关时间区域分散到不同数据包中。仅利用当前块信道状态信息，在线调度器在将数据包分配给衰落块时，会联合考虑数据包重要性密度、与MCS相关的解码可靠性、块容量和重要性集中度。在接收端，微调后的令牌恢复器无需重传即可从幸存令牌重建丢失内容。数值结果表明，该方法在数据包误码率升高时，能提升感知质量并实现更平稳的性能下降。
英文摘要
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.
