A scalable cross-attention Transformer fuses multi-AP OFDM uplink signals to produce decoder-ready LLRs without channel estimation and outperforms classical and neural baselines on realistic Wi-Fi channels.
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Scalable Cross-Attention Transformer for Cooperative Multi-AP OFDM Uplink Reception
A scalable cross-attention Transformer fuses multi-AP OFDM uplink signals to produce decoder-ready LLRs without channel estimation and outperforms classical and neural baselines on realistic Wi-Fi channels.