5 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis
Semantic communication (SemCom) aims to convey the meaning behind a transmitted message by transmitting only semantically-relevant information. This semantic-centric design helps t…
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference
Tilahun M. Getu, Walid Saad, Georges Kaddoum +1
Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission -- minimizing power usage, bandwid…
Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory
Tilahun M. Getu, Nada T. Golmie, David W. Griffith
We provide a new generation solution to the fundamental old problem of a doubly selective fading channel estimation for orthogonal frequency division multiplexing (OFDM) systems. F…