3 papers
eess.SP2026
Enhancing 6G Wireless Intelligence: Do LLMs Work for CSI Prediction?
Mohsen Kazemian, Jürgen Jasperneite
In high-mobility 6G scenarios, rapidly time-varying channels lead to very short coherence times, which makes conventional pilot-based channel state information (CSI) estimation app…
eess.SP2026
A Conditional Variational Framework for Channel Prediction in High-Mobility 6G OTFS Networks
Mohsen Kazemian, Jürgen Jasperneite
This paper proposes a machine learning (ML) based method for channel prediction in high mobility orthogonal time frequency space (OTFS) channels. In these scenarios, rapid variatio…
eess.SP2024
Investigating the Jamming Attack on 5G NR Physical Channels
Mohsen Kazemian
This study investigates the jamming attack on the orthogonal frequency-division multiplexing (OFDM) based physical channels in 5G new radio (NR) technology from the aspect of signa…