At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

Generative semantic communication: Diffusion models beyond bit recovery

E Grassucci, S Barbarossa, D Comminiello - arXiv preprint arXiv …, 2023 - arxiv.org
Semantic communication is expected to be one of the cores of next-generation AI-based
communications. One of the possibilities offered by semantic communication is the capability …

Generative AI for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

Contrastive learning based semantic communications

S Tang, Q Yang, L Fan, X Lei… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …

Transformer-aided wireless image transmission with channel feedback

H Wu, Y Shao, E Ozfatura… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents a novel wireless image transmission paradigm that can exploit
feedback from the receiver, called JSCCformer-f. We consider a block feedback channel …

A hybrid wireless image transmission scheme with diffusion

X Niu, X Wang, D Gündüz, B Bai… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional
digital communication scheme is complemented with a generative refinement component to …

Commin: Semantic image communications as an inverse problem with inn-guided diffusion models

J Chen, D You, D Gündüz… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have
recently achieved remarkable performance for wireless image transmission. However, these …

Deep joint source-channel coding for adaptive image transmission over MIMO channels

H Wu, Y Shao, C Bian, K Mikolajczyk… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces a vision transformer (ViT)-based deep joint source and channel
coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple …

Enhancing Semantic Communication with Deep Generative Models--An ICASSP Special Session Overview

E Grassucci, Y Mitsufuji, P Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Semantic communication is poised to play a pivotal role in shaping the landscape of future
AI-driven communication systems. Its challenge of extracting semantic information from the …

High perceptual quality wireless image delivery with denoising diffusion models

SF Yilmaz, X Niu, B Bai, W Han, L Deng… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …