A site-specific transformer model learns to probe key portions of the self-interference channel with few measurements and then designs full-duplex beams that outperform explicit channel estimation in ray-tracing simulations.
Millimeter- wave full duplex radios: New challenges and techniques
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2verdicts
UNVERDICTED 2representative citing papers
A site-specific beam learning method for full-duplex massive MIMO uses designed beam codebooks and deep learning to produce low self-interference high-SNR beams with 75-97% fewer measurements than explicit self-interference channel estimation.
citing papers explorer
-
Site-Specific Beamforming for Full-Duplex Massive MIMO Systems via Implicit Channel Estimation
A site-specific transformer model learns to probe key portions of the self-interference channel with few measurements and then designs full-duplex beams that outperform explicit channel estimation in ray-tracing simulations.
-
Site-Specific Beam Learning for Full-Duplex Massive MIMO Wireless Systems
A site-specific beam learning method for full-duplex massive MIMO uses designed beam codebooks and deep learning to produce low self-interference high-SNR beams with 75-97% fewer measurements than explicit self-interference channel estimation.