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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)
ISSN1525-3511
发表状态已发表
DOI10.1109/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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