Workshop on Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless)
Organized in conjunction with
IEEE International Conference on Computer Communications, 17-20 May 2023
CALL FOR PAPERS COMMITTEE SUBMISSIONS PROGRAM
Morning Sessions:
Welcome and Opening
8:00-8:10 EDT
Keynote I
8:10-9:10 EDT
Professor Kaushik Chowdhury, Northeastern University, USA
Title: RF Fingerprinting: Challenges and Experiences in Real-world Applications
Technical Session I: Deep Learning for Wireless Security
09:10 -10:30 EDT
Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
A Noise-Robust Radio Frequency Fingerprint Identification Scheme for Internet of Things Devices
Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks
A GAF and CNN based Wi-Fi Network Intrusion Detection System
Virtual Coffee Break
10:30-11:00 EDT
Technical Session II: Deep Learning for Wireless Applications
11:00-11:40 EDT
WiWm-EP: Wi-Fi CSI-based Wheat Moisture Detection Using Equivalent Permittivity
ADAPTER: A DRL-based Approach to Tune Routing in WSNs
Afternoon Sessions:
Keynote II
14:00-15:00 EDT
Professor Walid Saad, Virginia Tech, USA
Title: Understand Me If You Can: Reasoning Foundations of Semantic Communication Networks
Technical Session III: Deep Learning for 5G Communications
15:00-17:00 EDT
RIS-Empowered MEC for URLLC Systems with Digital-Twin-Driven Architecture
Multi-Agent Deep Reinforcement Learning for the Access Point Activation Strategy in Cell-Free Massive MIMO Networks
Untrained Neural Network based Bayesian Detector for OTFS Modulation Systems
Recurrent Neural Network Based RACH Scheme Minimizing Collisions in 5G and Beyond Networks
Shallow Neural Networks for Channel Estimation in Multi-Antenna Systems
