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Article
Engineering, Electrical & Electronic
Deniz Gunduz et al.
Summary: This tutorial summarizes the efforts in communication systems to integrate message semantics and goals of communication into their designs, as well as incorporating the context of communication exchange. It covers the foundations, algorithms, and potential implementations, with a focus on utilizing information theory and learning in semantics and task-aware communications.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Telecommunications
Mingyu Yang et al.
Summary: This paper investigates joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. The proposed method combines an autoencoder with orthogonal frequency division multiplexing (OFDM) and uses convolutional neural networks (CNNs) to map source images to complex-valued baseband samples for OFDM transmission. The system is trained end-to-end using differentiable layers that represent the multipath channel and OFDM. Experimental results show that the proposed method achieves significant SNR gain compared to conventional schemes and further improves performance with the incorporation of channel state information (CSI).
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Engineering, Electrical & Electronic
Jialong Xu et al.
Summary: By utilizing attention mechanisms, we propose a novel DL based JSCC method that can efficiently operate under different SNR levels. The proposed method requires less storage and is more robust in the presence of channel mismatch compared to existing methods.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Haotian Wu et al.
Summary: This research proposes a learning-based channel-adaptive joint source and channel coding (CA-JSCC) scheme for wireless image transmission over multipath fading channels. The proposed method is able to adapt to channel-gain and noise-power variations by utilizing estimated channel state information (CSI). Experimental results demonstrate that CA-JSCC achieves state-of-the-art performance compared to existing JSCC schemes, and it is robust to varying channel conditions.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Tze-Yang Tung et al.
Summary: In this paper, we propose DeepWiVe, an end-to-end joint source-channel coding video transmission scheme that utilizes deep neural networks to directly map video signals to channel symbols. Our method improves video quality by predicting residuals without distortion feedback and optimizing bandwidth allocation among video frames. Experimental results show that DeepWiVe outperforms conventional schemes in terms of the multi-scale structural similarity index measure and can overcome the cliff-effect.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Proceedings Paper
Acoustics
Ecenaz Erdemir et al.
Summary: This study investigates privacy-aware communication over a wiretap channel using end-to-end learning. The proposed data-driven approach achieves high reconstruction quality and confuses the understanding of sensitive attributes.
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2022)
Article
Engineering, Electrical & Electronic
Mikolaj Jankowski et al.
Summary: The study focuses on image retrieval at the wireless edge, proposing two alternative schemes to improve retrieval accuracy under constraints. Through extensive simulations and studies, the proposed schemes are shown to be effective in enhancing accuracy under different channel conditions.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
David Burth Kurka et al.
Summary: The study introduces deep learning based communication methods for adaptive-bandwidth transmission of images, proposing DeepJSCC-l as an innovative solution utilizing convolutional autoencoders. Experimental results demonstrate comparable performance of DeepJSCC-l with state of the art digital progressive transmission schemes in low signal-to-noise ratio and small bandwidth regimes.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Proceedings Paper
Acoustics
Thomas Marchioro et al.
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
(2020)
Article
Engineering, Electrical & Electronic
Amin Azari et al.
IEEE COMMUNICATIONS MAGAZINE
(2019)
Article
Computer Science, Information Systems
Chia-Han Lee et al.
Proceedings Paper
Computer Science, Artificial Intelligence
Eirikur Agustsson et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
Article
Telecommunications
Eirina Bourtsoulatze et al.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2019)
Article
Computer Science, Information Systems
Victoria Kostina et al.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2013)
Article
Computer Science, Information Systems
DL Donoho
IEEE TRANSACTIONS ON INFORMATION THEORY
(2006)
Article
Engineering, Electrical & Electronic
C Christopoulos et al.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2000)