3 papers
eess.SP2026
PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels
Berkay Guler, Giovanni Geraci, Hamid Jafarkhani
Channel foundation models assume access to fully observed channels, an assumption that fails in deployment. We introduce PilotWiMAE, a self-supervised framework whose encoder inges…
cs.LG2025
A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning
Berkay Guler, Giovanni Geraci, Hamid Jafarkhani
Current applications of self-supervised learning to wireless channel representation often borrow paradigms developed for text and image processing, without fully addressing the uni…
cs.LG2025
AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation
Berkay Guler, Hamid Jafarkhani
Deep learning models for channel estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems often suffer from performance degradation under fast-fading channels and lo…