3 papers
eess.SP2026
PARGAR: Pilot-Aware Graph Attention for Sparse-Pilot Neural OFDM Receivers
Sajedeh Norouzi, Mostafa Rahmani Ghourtani, Eric Samikwa +1
Reliable channel estimation and symbol detection in 5G New Radio (NR), as well as emerging 6G radio systems, rely on demodulation reference signals (DMRS). The density and placemen…
cs.NI2025
Dynamic Adaptive Federated Learning for mmWave Sector Selection
Lucas Pacheco, Torsten Braun, Kaushik Chowdhury +3
Beamforming techniques use massive antenna arrays to formulate narrow Line-of-Sight signal sectors to address the increased signal attenuation in millimeter Wave (mmWave). However,…
eess.SP2025
Lightweight Graph Neural Networks for Enhanced 5G NR Channel Estimation
Sajedeh Norouzi, Mostafa Rahmani, Yi Chu +3
Effective channel estimation CE is critical for optimizing the performance of 5G New Radio NR systems particularly in dynamic environments where traditional methods struggle with c…