| | 1 | ==== Introduction |
| | 2 | This dataset is associated with our work published in WiNTECH 2025. Please cite our work if you use it. |
| | 3 | K. Hermstein, A. Kwak, M. Kohli, and G. Zussman, “Real-time RF canceler tuning in practical full-duplex radios,” in Proc. ACM MobiCom’25 Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH’25), 2025. |
| | 4 | |
| | 5 | ==== Phase and Amplitude Based Canceller Performance Dataset |
| | 6 | This dataset contains the performance of the P&A-based canceller across numerous environments. Data collections are still underway. There are preliminary collections below. |
| | 7 | |
| | 8 | Dataset 1: Canceller performance across 30 environments |
| | 9 | |
| | 10 | - This dataset contains the canceller performance across 30 environments. For each location, we provide a triplet of the self-interference channel estimate (CSI), residual self-interference (RSI) across all configurations, and the optimal configuration (attenuation and phase setting). |
| | 11 | - Each triplet is a Python dictionary with keys "csi", "rsi", "opt_cfg" saved as a .pkl file that can be read with the pickle Python package. |