Výsledky vyhledávání - "deep joint source-channel coding"

  1. 1

    SeSy: Enhancing Communication System Reliability through Image-Based Semantic Synchronization Autor Liu, Xiaoyi, Dong, Chen, Liang, Haotai, Jiang, Hongchao, Xu, Xiaodong, Zhang, Ping

    ISSN: 0090-6778, 1558-0857
    Vydáno: IEEE 2025
    “…Semantic communication has emerged as a promising paradigm exhibiting improved robustness compared to traditional approaches under low SNR conditions. Precise…”
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  2. 2

    D²-JSCC: Digital Deep Joint Source-Channel Coding for Semantic Communications Autor Huang, Jianhao, Yuan, Kai, Huang, Chuan, Huang, Kaibin

    ISSN: 0733-8716, 1558-0008
    Vydáno: New York IEEE 01.04.2025
    “…Semantic communications (SemCom) have emerged as a new paradigm for supporting sixth-generation applications, where semantic features of data are transmitted…”
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  3. 3

    Scalable Deep Joint Source-Channel Coding for Multi-User Wireless Image Transmission with Diverse Bandwidth Conditions Autor Wang, Feng, Chen, Xuechen, Deng, Xiaoheng, Lin, Siyu

    ISSN: 1536-1276, 1558-2248
    Vydáno: IEEE 2025
    “…In recent years, Deep Joint Source-Channel Coding (DeepJSCC) has demonstrated superior performance over traditional digital schemes in wireless image…”
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  4. 4

    Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach Autor Xu, Jialong, Ai, Bo, Wang, Ning, Chen, Wei

    ISSN: 0733-8716, 1558-0008
    Vydáno: New York IEEE 01.01.2023
    “…The increased throughput brought by MIMO technology relies on the knowledge of channel state information (CSI) acquired in the base station (BS). To make the…”
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  5. 5

    Zero-Shot Semantic Communication With Multimodal Foundation Models Autor Hu, Jiangjing, Wu, Haotian, Zhang, Wenjing, Wang, Fengyu, Xu, Wenjun, Gao, Hui, Gunduz, Deniz

    ISSN: 0018-9545, 1939-9359
    Vydáno: IEEE 2025
    “…Most existing semantic communication (SemCom) systems use deep joint source-channel coding (DeepJSCC) to encode task-specific semantics in a goal-oriented…”
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  6. 6

    Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks Autor Bian, Chenghong, Shao, Yulin, Wu, Haotian, Ozfatura, Emre, Gunduz, Deniz

    ISSN: 0733-8716, 1558-0008
    Vydáno: New York IEEE 01.04.2025
    “…We introduce deep joint source-channel coding (DeepJSCC) schemes for image transmission over cooperative relay channels. The relay either…”
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  7. 7

    A Contemporary Survey on Semantic Communications: Theory of Mind, Generative AI, and Deep Joint Source-Channel Coding Autor Nguyen, Loc X., Raha, Avi Deb, Aung, Pyae Sone, Niyato, Dusit, Han, Zhu, Hong, Choong Seon

    ISSN: 2373-745X
    Vydáno: IEEE 2025
    “…Semantic communication is emerging as a key pillar of wireless communication technology, owing to its capabilities in reducing communication overhead,…”
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  8. 8

    Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information Autor Dong, Biao, Cao, Bin, Gui, Guan, Zhang, Qinyu

    ISSN: 1536-1276, 1558-2248
    Vydáno: IEEE 2025
    “…This work is concerned with robust distributed multi-view image transmission over a severe fading channel with imperfect channel state information (CSI),…”
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  9. 9

    Over-the-Air Learning-based Geometry Point Cloud Transmission Autor Bian, Chenghong, Shao, Yulin, Gunduz, Deniz

    ISSN: 0733-8716, 1558-0008
    Vydáno: IEEE 2025
    “…3D point cloud is a three-dimensional data format generated by LiDARs and depth sensors, and is being increasingly used in a large variety of applications from…”
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  10. 10

    Semantic Communication System Based on Meta-Learning Framework Autor Xie, Wenwu, Zhang, Tao, Xiong, Ming, Wang, Ji, Yang, Liang

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.07.2025
    Vydáno v IEEE communications letters (01.07.2025)
    “…With the continuous advancements in deep learning technology, semantic communication, particularly deep joint source-channel coding (DJSCC), has garnered…”
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  11. 11

    Deep Joint Source-Channel Coding for Multi-Task Network Autor Wang, Mengyang, Zhang, Zhicong, Li, Jiahui, Ma, Mengyao, Fan, Xiaopeng

    ISSN: 1070-9908, 1558-2361
    Vydáno: New York IEEE 2021
    “…Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a…”
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  12. 12

    Rate Splitting Multiple Access-Enabled Adaptive Panoramic Video Semantic Transmission Autor Gao, Haixiao, Sun, Mengying, Xu, Xiaodong, Han, Shujun, Wang, Bizhu, Zhang, Jingxuan, Zhang, Ping

    ISSN: 1536-1276, 1558-2248
    Vydáno: New York IEEE 01.11.2025
    “…In immersive communication, delivering real-time, high-resolution 360-degree panoramic videos imposes extremely high demands on network performance. In this…”
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  13. 13

    Constellation Design for Deep Joint Source-Channel Coding Autor Wang, Mengyang, Li, Jiahui, Ma, Mengyao, Fan, Xiaopeng

    ISSN: 1070-9908, 1558-2361
    Vydáno: New York IEEE 2022
    “…Deep learning-based joint source-channel coding (JSCC) has shown excellent performance in image and feature transmission. However, the output values of the…”
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  14. 14

    Residual Vector Quantized Diffusion Model-Based Joint Source-Channel Coding for Task-Oriented Agent Communication Autor He, Guojun, Zhang, Shengyu, Jiang, Tao

    ISSN: 1536-1276, 1558-2248
    Vydáno: New York IEEE 01.06.2025
    “…In this paper, a novel joint source-channel coding (JSCC) scheme based on the residual vector quantized diffusion model is proposed for task-oriented agent…”
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  15. 15

    Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems Autor Guo, Yiran, Chen, Wei, Xu, Jialong, Li, Lun, Ai, Bo

    ISSN: 0018-9545, 1939-9359
    Vydáno: New York IEEE 01.01.2025
    “…The design of precoding plays a crucial role in achieving a high downlink sum rate in multiuser multiple-input multiple-output (MIMO) orthogonal…”
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  16. 16

    An Efficient Federated Learning Framework for Training Semantic Communication Systems Autor Nguyen, Loc X., Le, Huy Q., Tun, Ye Lin, Aung, Pyae Sone, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

    ISSN: 0018-9545, 1939-9359
    Vydáno: New York IEEE 01.10.2024
    “…Semantic communication has emerged as a pillar for the next generation of communication systems due to its capabilities in alleviating data redundancy. Most…”
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  17. 17

    PSC: A Packet Semantic Communication Framework for Lossy Transmission With Packet Loss Channel Autor Zhang, Wenyu, Xie, Zhiwei, Zeadally, Sherali, Bai, Kaiyuan, Shao, Hua, Zhang, Haijun, Leung, Victor C. M.

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.09.2025
    Vydáno v IEEE communications letters (01.09.2025)
    “…Currently, semantic communication is predominantly confined to wireless communication scenarios, but not the general scenarios that transmit data packets. We…”
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  18. 18

    Deep joint source-channel coding empowered two-way relay networks for wireless image transmission Autor Wang, Xingyu, Zheng, Xiangdong, Zhang, Lianhong, Li, Chao

    ISSN: 1874-4907
    Vydáno: Elsevier B.V 01.02.2025
    Vydáno v Physical communication (01.02.2025)
    “…Compared with the traditional uni-directional relaying, two-way relay networks provide important enhancements and optimizations to modern communication…”
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  19. 19

    Adaptive Deep Joint Source-Channel Coding for One-to-Many Wireless Image Transmission Autor Luo, Lei, He, Ziyang, Wu, Junjie, Guo, Hongwei, Zhu, Ce

    ISSN: 0018-9316, 1557-9611
    Vydáno: New York IEEE 01.09.2025
    Vydáno v IEEE transactions on broadcasting (01.09.2025)
    “…Deep learning based joint source-channel coding (DJSCC) has recently made significant progress and emerged as a potential solution for future wireless…”
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    Residual Cross-Attention Transformer-Based Multi-User CSI Feedback With Deep Joint Source-Channel Coding Autor Zhang, Hengwei, Wu, Minghui, Qiao, Li, Liu, Ling, Han, Ziqi, Gao, Zhen

    ISSN: 2162-2337, 2162-2345
    Vydáno: Piscataway IEEE 01.08.2025
    Vydáno v IEEE wireless communications letters (01.08.2025)
    “…This letter proposes a deep-learning (DL)-based multi-user channel state information (CSI) feedback framework for massive multiple-input multiple-output…”
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