48 citations · 57 across the 6 of their papers we have counts for
4 papers · 1 filter
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects
Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener
Communications systems to date are primarily designed with the goal of reliable transfer of digital sequences (bits). Next generation (NextG) communication systems are beginning to…
Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning
Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem +2
Deep learning (DL) finds rich applications in the wireless domain to improve spectrum awareness. Typically, DL models are either randomly initialized following a statistical distri…
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb +1
This paper presents a novel approach for the joint design of a reconfigurable intelligent surface (RIS) and a transmitter-receiver pair that are trained together as a set of deep n…
Spectrum Shaping via Network Coding in Cognitive Radio Networks
Shanshan Wang, Yalin E. Sagduyu, Junshan Zhang +1
We consider a cognitive radio network where primary users (PUs) employ network coding for data transmissions. We view network coding as a spectrum shaper, in the sense that it incr…