ShanghaiTech University Knowledge Management System
Joint Source and Channel Coding for Multi-Modal Satellite-to-Ground Semantic Communications | |
2025-03-27 | |
会议录名称 | 2025 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
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ISSN | 1525-3511 |
发表状态 | 已发表 |
DOI | 10.1109/WCNC61545.2025.10978250 |
摘要 | This paper presents a novel Joint Source and Channel Coding (JSCC) method for semantic communication to enhance the communication efficiency for transmitting high-resolution multi-modal data from Low Earth Orbit (LEO) satellites to ground stations. On the satellite, a JSCC encoder consisting of neural networks (NNs) is utilized to map the input multi-modal data into a common signal, while an NN-based JSCC decoder at the ground station reconstructs the original input from the received signal. Throughout this process, the common semantic information among each modality is learned to optimize coding space, and a robust coding scheme specific to the satellite downlink channel is developed between the encoder and decoder. Experiments have demonstrated that the proposed method outperforms existing signal modality JSCC approaches, achieving multi-modal transmission with significantly smaller coding space and thereby reducing communication overhead. |
会议地点 | Milan, Italy |
会议日期 | 24-27 March 2025 |
URL | 查看原文 |
来源库 | IEEE |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/527103 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_吴幼龙组 信息科学与技术学院_PI研究组_石远明组 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_文鼎柱组 |
作者单位 | School of Information Science and Technology, Shanghaitech University |
第一作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Yanbo Yin,Shu Liu,Dingzhu Wen,et al. Joint Source and Channel Coding for Multi-Modal Satellite-to-Ground Semantic Communications[C],2025. |
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