提出按时间片段打包的重传机制,提升视频生成接收端在带宽受限下的恢复质量。
Tube-Structured Incremental Semantic HARQ for Generative Video Receivers

- 以时间局部性片段为单位进行重传,实现接收端驱动的语义HARQ
- 在中到恶劣信道下,恢复成本更低且收敛更快
- 适合资源受限的实时视频生成系统
生成式语义通信利用接收端的生成先验从紧凑语义中重建视觉内容,适用于带宽受限的多媒体传输。对于视频而言,可靠恢复仍具挑战:误差随时间累积,有效信息具有时间相关性,且接收端需在有限交互、重传和重构预算下决策。现有研究多关注表示、压缩或生成重建,近期抗错与语义HARQ方法仍主要基于编码器定义或帧块级重传。本文研究在预算约束的AoIS-AUC目标下,接收端驱动的生成视频重建语义HARQ,并指出重传原语本身是关键系统设计变量。提出管状结构的包级原生请求,其中时间局部包作为信道可见的HARQ对象,以包粒度进行传输、丢弃、接收与确认。在匹配骨干网络、预算与信道模型的受控对比中,该原语在实际相关的中至恶劣信道环境下,相较竞争性块级基线展现出更低的时间加权恢复成本,而在近清洁信道中差距自然缩小。增益主要体现为更早稳定恢复轨迹,最终质量终点仍大致相当,且在面对管状感知的块排序基线时依然保持优势。
原文摘要 · Abstract (English)
Generative semantic communication uses receiver-side generative priors to reconstruct visual content from compact semantics, making it attractive for bandwidth-limited multimedia delivery. For video, reliable recovery remains difficult because errors accumulate over time, useful evidence is temporally correlated, and the receiver must make decisions under limited interaction, retransmission, and reconstruction budgets. Existing generative semantic communication studies mainly emphasize representation, compression, or generative reconstruction, while recent error-resilient and semantic-HARQ methods still largely operate on encoder-defined or frame-block retransmission units. This paper studies receiver-driven semantic HARQ for generative video reconstruction under a budget-constrained AoIS-AUC objective and argues that the retransmission primitive is itself an important system design variable. We propose tube-structured package-native requests, in which temporally local packages are the channel-visible HARQ objects and are transmitted, dropped, received, and committed at package granularity. Under a controlled comparison protocol with matched backbone, budgets, and channel model, this primitive yields lower time-weighted recovery cost than competitive block-based baselines in practically relevant moderate-to-harsh regimes, while the gap naturally shrinks in near-clean channels. The gain mainly appears as earlier stabilization of the recovery trajectory, while final-quality endpoints remain broadly comparable, and it persists even against a tube-aware block-ranking baseline.
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