MambaCSP replaces quadratic-attention LLM backbones with linear-time hybrid SSMs for CSI prediction, delivering 9-12% higher accuracy and up to 3x throughput in MISO-OFDM simulations.
Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI
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MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
MambaCSP replaces quadratic-attention LLM backbones with linear-time hybrid SSMs for CSI prediction, delivering 9-12% higher accuracy and up to 3x throughput in MISO-OFDM simulations.