Dimensions overall score 4.0

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• The physics-informed complex Transformer reconstructs full wideband CFR from fragmented spectrum snapshots with interference modeled as a two-state Markov chain.method 92%
• The model uses factored self-attention with complexity O(TF² + FT²), reducing computational requirements compared to standard attention.technical 90%
• The approach achieves PDP similarity ρ ≥ 0.82 compared to ρ ≥ 0.62 for the best baseline at interference occupancy up to 50%.result 95%
• The model uses a composite physics-informed loss combining spectral fidelity, PDP reconstruction, CIR sparsity, and temporal smoothness.method 88%
• The model incorporates mobility effects through per-sample velocity randomization for generalization across mobility regimes.method 85%
• The model processes complex-valued inputs and outputs through a holomorphic linear layer that preserves phase relationships.technical 87%
• The model degrades smoothly across the full velocity range and consistently outperforms all baselines.result 83%
• Wideband CFR estimation is challenging in multi-band systems when sub-bands are temporarily blocked by co-channel interference.technical 80%

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