4 citations · 8 across the 7 of their papers we have counts for
8 papers
End-to-End Deep Learning in Wireless Communication Systems: A Tutorial Review
Abdelrahman Elfiky, Zouheir Rezki, Jorge Cortez +4
The physical layer (PHY) in wireless communication systems has traditionally relied on model-based methods that are often optimized individually as independent blocks to perform ta…
Dual-Domain Deep Learning-Assisted NOMA-CSK Systems for Secure and Efficient Vehicular Communications
Tingting Huang, Jundong Chen, Huanqiang Zeng +2
Ensuring secure and efficient multi-user (MU) transmission is critical for vehicular communication systems. Chaos-based modulation schemes have garnered considerable interest due t…
Design of A New Multiple-Chirp-Rate Index Modulation for LoRa Networks
Xiaobin Zhu, Minling Zhang, Guofa Cai +2
We propose a multiple chirp rate index modulation (MCR-IM) system based on Zadoff-Chu (ZC) sequences that overcomes the problems of low transmission rate and large-scale access in…
Aging-Resistant Wideband Precoding in 5G and Beyond Using 3D Convolutional Neural Networks
Alejandro Villena-Rodriguez, Francisco J. Martín-Vega, Gerardo Gómez +2
To meet the ever-increasing demand for higher data rates, 5G and 6G technologies are shifting transceivers to higher carrier frequencies, to support wider bandwidths and more anten…
RIS-Enabled Anti-Interference in LoRa Systems
Zhaokun Liang, Guofa Cai, Jiguang He +3
It has been proved that a long-range (LoRa) system can achieve long-distance and low-power. However, the performance of LoRa systems can be severely degraded by fading. In addition…
Deep Learning-Enabled Text Semantic Communication under Interference: An Empirical Study
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis
At the confluence of 6G, deep learning (DL), and natural language processing (NLP), DL-enabled text semantic communication (SemCom) has emerged as a 6G enabler since it minimizes b…
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Tilahun M. Getu, Georges Kaddoum, M. Bennis
Although deep learning (DL) has led to several breakthroughs in many disciplines, the fundamental understanding on why and how DL is empirically successful remains elusive. To atta…
Tutorial-Cum-Survey on Semantic and Goal- Oriented Communication: Research Landscape, Challenges, and Future Directions
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis
SemCom and goal-oriented SemCom are designed to transmit only semantically-relevant information and hence help to minimize power usage, bandwidth consumption, and transmission dela…