Beamforming Optimization on Sparse channels (test)
0.024GPU Inference Time (s)CNN-Transformer
Evaluation results
| Method | Links | |
|---|---|---|
| CNN-TransformerK=40, N=28, SNR=20 dB2025.10 | 0.024 | |
| Graph TransformerK=40, N=28, SNR=20 dB2025.10 | 0.032 | |
| SALLO-MK=40, N=28, SNR=20 dB2025.10 | 0.124 | |
| LLM-adapterK=40, N=28, SNR=20 dB2025.10 | 0.206 | |
| IAIDNNK=40, N=28, SNR=20 dB2025.10 | 1.542 | |
| RNN OptimizerK=40, N=28, SNR=20 dB2025.10 | 5.123 | |
| WMMSEK=40, N=28, SNR=20 dB2025.10 | 10.326 |