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.
In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models,
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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.