Task-Oriented Deep Joint Source-Channel Coding with Semantic-Aware Adaptive Quantization for Autonomous Driving [PDF]
In autonomous driving and intelligent transportation, vehicles need to share visual perception information to extend sensing range, but conventional separate source-channel coding can suffer from the cliff effect under harsh vehicular channels, causing ...
Xin Wang +4 more
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Lightweight SNR-Adaptive Receiver-Side Enhancement for DeepJSCC-Based Wireless Image Transmission [PDF]
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.
Shouquan Hou, Peng Zhao, Nuo Chen
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HASCom: A Heterogeneous Affective-Semantic Communication Framework for Speech Transmission [PDF]
Driven by the development of next-generation wireless networks and the widespread adoption of sensing, communication is shifting from traditional bit-level transmission to intelligent, rich interactions within our digital social system. However, existing
Zhenjia Yu +4 more
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A star modulation network for wireless image semantic transmission [PDF]
In 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 ...
Xiangcheng Li +5 more
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Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ
Semantic communication has witnessed a great progress with the development of natural language processing (NLP) and deep learning (DL). Although existing semantic communication technologies can effectively reduce errors in semantic interpretation, most ...
Qingyang Zhou +4 more
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A survey on deep learning based joint source-channel coding
Classical information theory shows that separate source-channel coding is asymptotically optimal over a point-to-point channel.As modern communication systems are becoming more sensitive to delays and bandwidth,it becomes difficult to adopt the ...
Tianjie MU +6 more
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Rateless Deep Joint Source Channel Coding for 3D Point Cloud
To enable untethered volumetric services, one of the primary challenges lies in reconstructing a high-quality 3D point cloud for each user, despite variations in channel conditions and bandwidth availability.
Shoichi Ibuki +4 more
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Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission
Deep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-to-end image transmission against multiple eavesdroppers. Both scenarios of colluding and non-colluding eavesdroppers are considered.
Mehdi Letafati +5 more
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Scenario-Adaptive Deep Joint Source-Channel Coding for CSI Feedback
Multiple-input multiple-output (MIMO) technology is expected to be a critical technology for next-generation wireless communication systems. A major challenge in frequency division duplexing (FDD) MIMO systems is the realization of low-overhead, high ...
Xiyu Wang, Yiran Guo, Wei Chen, Bo Ai
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Research of LT Code Based on Key Information Feedback in Deep Space Communication
CCSDS LDPC code cannot effectively solve the problems of communication interruptions and high communication error rates in deep space communication. An application scheme of digital fountain code for deep space communication is thoroughly studied in this
Hai Tian +3 more
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