A survey on deep learning based joint source-channel coding by Tianjie MU, Xiaohui CHEN, Yiyun WANG, Lupeng MA, Dong LIU, Jing ZHOU, Wenyi ZHANG

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Lightweight joint source-channel coding method based on MIMO-CSI prediction by YU Chuangyu, XU Yanyan, PAN Shaoming

Subjects: “…joint source-channel coding…”
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Joint source-channel coding for image transmission based on best wavelet packet by Jun-hong CHEN, Qin-yu ZHANG

Subjects: “…joint source channel coding…”
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Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission by Mehdi Letafati, Seyyed Amirhossein Ameli Kalkhoran, Ecenaz Erdemir, Babak Hossein Khalaj, Hamid Behroozi, Deniz Gunduz

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5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method by Daisuke Hisano, Keigo Matsumoto, Yoshiaki Inoue, Yuko Hara, Kazuki Maruta, Yu Nakayama, Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda

“…This paper presents the first outdoor field trials of deep joint source-channel coding (DeepJSCC) for image transmission over a 5G system. …”
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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

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Visually Secure Deep Joint Source-Channel Coding With Chaotic Map Against Deep Known-Plaintext Attack by Yuyang Fu, Katsuya Suto

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H.264 rate-distortion model based joint source channel coding scheme over wireless channels by GAO Xue-juan, ZHUO Li, SHEN Lan-sun

Subjects: “…joint source channel coding…”
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Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction by YANG Shuhan, SHEN Bin, HUANG Xiaoge

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Hybrid Window Decoding for Joint Source Channel Anytime Coding System by Li Deng, Zhiping Shi, Yixin Wang, Xiaoxi Yu, Yong Liang Guan, Zhiping Xu

Subjects: “…joint source channel coding (JSCC)…”
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Large-Language-Model-Enabled Text Semantic Communication Systems by Zhenyi Wang, Li Zou, Shengyun Wei, Kai Li, Feifan Liao, Haibo Mi, Rongxuan Lai

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JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR by Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino, Takuya Fujihashi

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Nonlinear transform coding for semantic communications by Ping ZHANG, Jincheng DAI, Yuming ZHANG, Sixian WANG, Xiaoqi QIN, Kai NIU

“…The modular design and limited processing mechanism of traditional communication systems limit the continuous improvement of end-to-end data transmission capability.For this reason, a new nonlinear transform coding framework for semantic communications was proposed.First, an end-to-end rate distortion optimization criterion for semantic communication was derived based on variational theory.Based on this, a nonlinear transform was designed to extract the compact representation of source data in the semantic latent space, and variable-rate nonlinear joint source-channel coding was implemented through the guidance of variational entropy model.Experiments show that semantic nonlinear transform coding can significantly improve the end-to-end data transmission performance and robustness, and is one of the key technologies to catalyze future semantic communications.…”
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Nonlinear transform coding for semantic communications by Ping ZHANG, Jincheng DAI, Yuming ZHANG, Sixian WANG, Xiaoqi QIN, Kai NIU

“…The modular design and limited processing mechanism of traditional communication systems limit the continuous improvement of end-to-end data transmission capability.For this reason, a new nonlinear transform coding framework for semantic communications was proposed.First, an end-to-end rate distortion optimization criterion for semantic communication was derived based on variational theory.Based on this, a nonlinear transform was designed to extract the compact representation of source data in the semantic latent space, and variable-rate nonlinear joint source-channel coding was implemented through the guidance of variational entropy model.Experiments show that semantic nonlinear transform coding can significantly improve the end-to-end data transmission performance and robustness, and is one of the key technologies to catalyze future semantic communications.…”
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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…This study proposes a separate source-channel coding (SSCC) framework to address semantic communication challenges in MIMO systems, overcoming the limitations of joint source-channel coding (JSCC) in channel adaptation and model reusability. …”
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A Multi-Hop Semantic Communication System Enhanced by Semantic Importance by Xin Huang, Chao Wang, Xuming Tian, Zuxing Li, Cong Zhao, Ming Xiao

“…To enhance transmission reliability, the framework employs a semantic importance (SI) calculation module to aid in training joint source-channel coding (JSCC) with relays, thereby better protecting the delivery of crucial semantic information over wireless channels with long-distance signal propagation. …”
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Scalable Semantic Adaptive Communication for Task Requirements in WSNs by Hong Yang, Xiaoqing Zhu, Jia Yang, Ji Li, Linbo Qing, Xiaohai He, Pingyu Wang

“…Firstly, we design an Attention Mechanism-based Joint Source Channel Coding (AMJSCC) in order to fully exploit the correlation among semantic features, channel conditions, and tasks. …”
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Retracted: A Novel Adaptive Terahertz System for Reliable and Efficient Maritime Communications Under Hostile Sea Conditions by Jianxin Feng, Jingjing Xu, Chengsheng Pan, Yuanming Ding, Hui Fang

“…Specifically, we design a joint source-channel coding scheme by using system random linear network coding (sRLNC) and Reed-Solomon (RS) to ensure transmission reliability. …”
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