Lightweight SNR-Adaptive Receiver-Side Enhancement for DeepJSCC-Based Wireless Image Transmission. [PDF]
Sensors (Basel)Deep joint source-channel coding (DeepJSCC) has emerged as a promising paradigm for semantic-aware wireless image transmission, achieving strong performance under challenging channel conditions.
Hou S, Zhao P, Chen N.
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A star modulation network for wireless image semantic transmission. [PDF]
Sci RepIn recent years, semantic communication based on deep joint source-channel coding (DEEPJSCC) has been demonstrated and widely investigated. However, existing DEEPJSCC schemes suffer from low efficiency in mining latent semantic representations, as well ...
Li X +5 more
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DWT-3DRec: DeepJSCC-based wireless transmission for efficient 3D scene reconstruction using CityNeRF
Digital Communications and NetworksThe Unmanned Aerial Vehicle (UAV)-assisted sensing–transmission–computing integrated system plays a vital role in emergency rescue scenarios involving damaged infrastructure. To tackle the challenges of data transmission and enable timely rescue decision-
exaly +3 more sources
DeepJSCC‐based latent space power control for robust and efficient 3D point cloud transmission
ETRI JournalTransmitting 3D point cloud data through wireless networks is challenging, as it entails balancing the demand for precise reconstruction with energy efficiency and consistent performance under changing channel conditions.
Hui Yuan
exaly +2 more sources
Lightweight and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication
IEEE AccessCurrently, deep learning-based joint source channel coding (JSCC) methods have achieved significant progress in enabling semantic communication. However, existing methods of this type often fall short of meeting the new demands in terms of model ...
Youming Sun +5 more
doaj +1 more source
5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method
IEEE Open Journal of the Communications SocietyThis paper presents the first outdoor field trials of deep joint source-channel coding (DeepJSCC) for image transmission over a 5G system. DeepJSCC is a deep learning-based end-to-end method that unifies source and channel coding to enable robust and low-
Daisuke Hisano +9 more
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Federated Learning for Semantic Communication Based on CNNs and Transformer
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.This study focuses on the latest research advancements in the field of semantic communication. Traditional communication systems prioritize the transmission of raw data, whilst semantic communication emphasizes conveying the meaning represented by the data.
Shufeng Li +7 more
wiley +1 more source
Deep polar transformer semantic coding framework for reliable 6G autonomous vehicle communication
Ain Shams Engineering JournalThe development of sixth generation (6G) networks for Autonomous Vehicles (AVs) requires an unprecedented level of ultra-reliable low-latency communication (URLLC).
Turki M. Alanazi
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Two‐View Image Semantic Cooperative Nonorthogonal Transmission in Distributed Edge Networks
International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.With the wide application of deep learning (DL) across various fields, deep joint source–channel coding (DeepJSCC) schemes have emerged as a new coding approach for image transmission. Compared with traditional separated source and CC (SSCC) schemes, DeepJSCC is more robust to the channel environment.
Wei Wang +6 more
wiley +1 more source
Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling
IEEE AccessRecent advances in artificial intelligence (AI) models, such as large language models and diffusion models, have shown significant potential in semantic communication by reconstructing multimedia data from highly compressed semantic signals under limited
Eleonora Grassucci +5 more
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