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20232026
most citedGenerative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks

7 citations · 13 across the 22 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.LG2024

Predictive Covert Communication Against Multi-UAV Surveillance Using Graph Koopman Autoencoder

Sivaram Krishnan, Jihong Park, Gregory Sherman +2

Low Probability of Detection (LPD) communication aims to obscure the presence of radio frequency (RF) signals to evade surveillance. In the context of mobile surveillance utilizing…

cs.LG2024

Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction

Jinho Choi, Sivaram Krishnan, Jihong Park

The Koopman autoencoder, a data-driven technique, has gained traction for modeling nonlinear dynamics using deep learning methods in recent years. Given the linear characteristics…

cs.CV2024

Language-Oriented Semantic Latent Representation for Image Transmission

Giordano Cicchetti, Eleonora Grassucci, Jihong Park +3

In the new paradigm of semantic communication (SC), the focus is on delivering meanings behind bits by extracting semantic information from raw data. Recent advances in data-to-tex…

eess.SP2024★ 3 cited

Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling

Eleonora Grassucci, Jinho Choi, Jihong Park +3

In recent years, novel communication strategies have emerged to face the challenges that the increased number of connected devices and the higher quality of transmitted information…

cs.IT2024

Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts

Jinho Choi, Jihong Park, Eleonora Grassucci +1

Semantic communication, emerging as a promising paradigm for data transmission, offers an innovative departure from the constraints of Shannon theory, heralding significant advance…

cs.NI2024

Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks

Chang-Yong Lim, Jihong Park, Jinho Choi +3

In this article, we propose a multi-agent deep reinforcement learning (MADRL) framework to train a multiple access protocol for downlink low earth orbit (LEO) satellite networks. B…

eess.SP2024

Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance

Sivaram Krishnan, Jihong Park, Gregory Sherman +2

Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. Howev…

cs.CL2024★ 7 cited

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks

Eleonora Grassucci, Jihong Park, Sergio Barbarossa +3

While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimat…