68 citations · 278 across the 34 of their papers we have counts for
3 papers · 1 filter
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems
Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu
This paper presents a deep reinforcement learning (DRL) solution for power control in wireless communications, describes its embedded implementation with WiFi transceivers for a Wi…
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…
Machine Learning in NextG Networks via Generative Adversarial Networks
Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu
Generative Adversarial Networks (GANs) are Machine Learning (ML) algorithms that have the ability to address competitive resource allocation problems together with detection and mi…