Toward Communication-Efficient Holographic Video Transmission Through Semantic Communication and Edge Intelligence

Holographic video technology introduces a revolutionary dimension to immersive viewing experiences, offering six degrees of freedom (6-DoF) interaction. However, its implementation encounters substantial challenges in data processing and transmission. This article proposes an innovative solution by integrating semantic communication and edge intelligence. The article begins by presenting a holistic framework for holographic video transmission, elucidating the functions of each constituent, and delineating the system's operational workflow. Sub-sequently, we propose three supporting techniques to mitigate communication constraints, which include feature-based semantic communication from the terminal to the edge server, multiple streams of video combing semantic communication at the edge server, and delay minimizing through the joint allocation of communication and computation resources. Future challenges and opportunities in this domain are also discussed, paving the way for further research and development.

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Publication Details

Journal
IEEE Wireless Communications
Published
2025-03-29
DOI
https://doi.org/10.1109/mwc.001.2400204
Citations
2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
4.96

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article

Toward Communication-Efficient Holographic Video Transmission Through Semantic Communication and Edge Intelligence

Jie Xu, Cheng Zhan, Han Hu, Xintao Huan et al.
2 citations
IEEE Wireless Communications
Neural Networks and Reservoir Computing
4.96
article

Toward Communication-Efficient Holographic Video Transmission Through Semantic Communication and Edge Intelligence

Jie Xu, Cheng Zhan, Han Hu, Xintao Huan, Kaifeng Song, Rongfei Fan
article en
2 citations

Abstract

Holographic video technology introduces a revolutionary dimension to immersive viewing experiences, offering six degrees of freedom (6-DoF) interaction. However, its implementation encounters substantial challenges in data processing and transmission. This article proposes an innovative solution by integrating semantic communication and edge intelligence. The article begins by presenting a holistic framework for holographic video transmission, elucidating the functions of each constituent, and delineating the system's operational workflow. Sub-sequently, we propose three supporting techniques to mitigate communication constraints, which include feature-based semantic communication from the terminal to the edge server, multiple streams of video combing semantic communication at the edge server, and delay minimizing through the joint allocation of communication and computation resources. Future challenges and opportunities in this domain are also discussed, paving the way for further research and development.

IEEE Wireless CommunicationsVol. 32(2)
Beijing Institute of Technology (CN), Southwest University (CN), Chinese University of Hong Kong, Shenzhen (CN)
European Research Consortium for Informatics and Mathematics
Openalex Percentile: Top 6%
Neural Networks and Reservoir Computing
4.96
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Toward Communication-Efficient Holographic Video Transmission Through Semantic Communication and Edge Intelligence — Jie Xu, Cheng Zhan, et al. · IEEE Wireless Communications (2025) | TGRS Research Map | TGRS