Deep Learning for Wireless Communications

Deep Learning for Wireless Communications

12 May 2020

Papers citing "Deep Learning for Wireless Communications"

19 / 19 papers shown

Title
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning Y. Sagduyu T. Erpek 16 2 0 27 Dec 2023
Deep Learning Based Uplink Multi-User SIMO Beamforming Design Cemil Vahapoglu Tim O'Shea Tamoghna Roy S. Ulukus 26 7 0 28 Sep 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 24 8 0 21 Dec 2022
Calibrating AI Models for Wireless Communications via Conformal Prediction K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 32 6 0 15 Dec 2022
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems Ziad El Jamous Kemal Davaslioglu Y. Sagduyu 23 3 0 02 Nov 2022
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 20 35 0 28 Oct 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks Yi Shi Y. Sagduyu T. Erpek FedML 24 15 0 06 Apr 2022
End-to-End Autoencoder Communications with Optimized Interference Suppression Kemal Davaslioglu T. Erpek Y. Sagduyu 36 4 0 29 Dec 2021
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces T. Erpek Y. Sagduyu Ahmed Alkhateeb Aylin Yener 17 7 0 08 Dec 2021
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications Brian Kim Yi Shi Y. Sagduyu T. Erpek S. Ulukus AAML 19 27 0 16 Sep 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Yi Shi Y. Sagduyu 13 16 0 22 Jul 2021
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing Yi Shi Y. Sagduyu AAML AI4CE 41 29 0 21 Jan 2021
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks Tarun S. Cousik Vijay K. Shah T. Erpek Y. Sagduyu Jeffrey H. Reed 19 22 0 06 Jan 2021
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 17 29 0 15 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 15 111 0 11 May 2020
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 46 68 0 05 Feb 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 17 39 0 24 Jan 2020
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,171 0 02 Feb 2017