no code implementations • 17 May 2024 • Yoon Huh, Hyowoon Seo, Wan Choi
To support various modulation orders within a single model, the operation of every neural network (NN)-based module in the uJSCC system requires the selection of modulation orders according to signal-to-noise ratio (SNR) boundaries.
no code implementations • 10 Jun 2023 • Hyowoon Seo, Yoonseong Kang, Mehdi Bennis, Wan Choi
This work deals with the heterogeneous semantic-native communication (SNC) problem.
no code implementations • 20 Dec 2021 • Hamid Shiri, Hyowoon Seo, Jihong Park, Mehdi Bennis
Inspired by the multi-head attention (MHA) mechanism in natural language processing, this letter proposes an iterative single-head attention (ISHA) mechanism for multi-UAV path planning.
no code implementations • 3 Dec 2021 • Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko
A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs) are envisaged to provide a global coverage SAT network in beyond fifth-generation (5G) cellular systems.
no code implementations • 12 Aug 2021 • Hyowoon Seo, Jihong Park, Mehdi Bennis, Mérouane Debbah
Spurred by a huge interest in the post-Shannon communication, it has recently been shown that leveraging semantics can significantly improve the communication effectiveness across many tasks.
no code implementations • 16 Apr 2021 • Abanoub M. Girgis, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi
Numerical results under a non-linear cart-pole environment demonstrate that the proposed split learning of a Koopman autoencoder can locally predict future states, and the prediction accuracy increases with the representation dimension and transmission power.
4 code implementations • 4 Nov 2020 • Hyowoon Seo, Jihong Park, Seungeun Oh, Mehdi Bennis, Seong-Lyun Kim
The goal of this chapter is to provide a deep understanding of FD while demonstrating its communication efficiency and applicability to a variety of tasks.