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eess.SP2026
HELENA for 5G NR LEO NTN Channel Estimation: A Comparative Evaluation
Miguel Camelo Botero, Nina Slamnik-Kriještorac, Johann Marquez-Barja
Deep Learning (DL)-based channel estimation has shown high accuracy and low latency in terrestrial 5G NR, but Low Earth Orbit (LEO) Non-Terrestrial Networks (NTNs) introduce Dopple…
eess.SP2025
HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention
Miguel Camelo Botero, Esra Aycan Beyazit, Nina Slamnik-Kriještorac +1
Accurate channel estimation is critical for high-performance Orthogonal Frequency-Division Multiplexing systems such as 5G New Radio, particularly under low signal-to-noise ratio a…