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[논문 리뷰] Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control

논문 링크: Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate ControlWe present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless image transmission. The proposed scheme supports multiple rates using a single deep neural network (DNN) model and learns to dynamically control the rate based on the carxiv.org 출처: M. Yang and H.-S. Kim, “Deep ..

Wireless Communications 2025.12.15
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    • Wireless Communications (44)
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energy efficiency, ML, semantic communication, time-division duplexing (TDD), semantic learning, Large Language Model, 6g, massive MIMO systems, Intelligent wireless networks, Channel estimation, AI-native, Semantic communications, pilotcontamination, contextual reasoning, spectral efficiency, Joint source-channel coding, Ai, orthogonal frequency division multiplexing (OFDM), Federated Learning, beyond 6G,

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