DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission [PDF]
, 2023 This paper presents a novel vision transformer (ViT) based deep joint source channel coding (DeepJSCC) scheme, dubbed DeepJSCC-l++, which can be adaptive to multiple target bandwidth ratios as well as different channel signal-to-noise ratios (SNRs) using
Shao, Yulin +2 more
core +1 more source
Generative Joint Source-Channel Coding for Semantic Image Transmission [PDF]
, 2022 Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs), called DeepJSCC, provide promising results in wireless image transmission.
Tung, Tze-Yang +3 more
core +2 more sources
DeepJSCC-f: deep joint source-channel coding of images with feedback [PDF]
, 2020 We consider wireless transmission of images in the presence of channel output feedback. From a Shannon theoretic perspective feedback does not improve the asymptotic end-to-end performance, and separate source coding followed by capacity-achieving ...
Gunduz, Deniz, Kurka, David Burth
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Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels [PDF]
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) channels, denoted as DeepJSCC-MIMO.
Gündüz, Deniz +4 more
core +3 more sources
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding [PDF]
, 2021 We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which images are transmitted progressively in layers over time or frequency, and such layers can be ...
Kurka D. B. +3 more
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A Hybrid Joint Source-Channel Coding Scheme for Mobile Multi-Hop Networks [PDF]
We propose a novel hybrid joint source-channel coding (JSCC) scheme for robust image transmission over multihop networks. In the considered scenario, a mobile user wants to deliver an image to its destination over a mobile cellular network.
Shao, Yulin +2 more
core +3 more sources
Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission
IEEE Transactions on Machine Learning in Communications and NetworkingDeep 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
doaj +1 more source
Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective
, 2022 Recent progress in deep learning (DL)-based joint source-channel coding (DeepJSCC) has led to a new paradigm of semantic communications. Two salient features of DeepJSCC-based semantic communications are the exploitation of semantic-aware features ...
Shao, Yulin, Gunduz, Deniz
core
Deep Joint Source-Channel Coding Over Cooperative Relay Networks [PDF]
This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for image transmission over a half-duplex cooperative relay channel. Specifically, we apply DeepJSCC to two basic modes of cooperative communications, namely amplify-and ...
Shao, Yulin +3 more
core +1 more source
High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models [PDF]
We consider the image transmission problem over a noisy wireless channel via deep learning-based joint source-channel coding (DeepJSCC) along with a denoising diffusion probabilistic model (DDPM) at the receiver.
Han, Wei +5 more
core +1 more source