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4. Cross-Modal Transmission

  • 2026
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the complexities of cross-modal transmission, focusing on haptic, audio, and visual streaming. It begins by addressing the challenges of haptic streaming, including delay and error in signals, and proposes a joint transmission framework that combines prediction and device-to-device (D2D) communication. The system model and delay analysis are thoroughly explored, highlighting the importance of minimizing end-to-end delay. The chapter also introduces inter-modal correlation-based audio-visual streaming, which aims to enhance throughput by leveraging spatiotemporal correlations. Additionally, it discusses content-aware stream scheduling, which uses AI-driven cross-modal signal recovery techniques to improve transmission quality. The text concludes with a prediction-aware stream scheduling paradigm, which employs adaptive prediction and error correction to reduce latency and enhance user experience. Throughout the chapter, various transmission strategies and resource allocation methods are analyzed, providing a comprehensive overview of the latest techniques in cross-modal transmission.

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Title
Cross-Modal Transmission
Authors
Xin Wei
Dan Wu
Liang Zhou
Copyright Year
2026
DOI
https://doi.org/10.1007/978-3-032-00957-9_4
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