Introduction

This dataset is associated with our work published in WiNTECH 2025. Please cite our work if you use it.

11. Hermstein, A. Kwak, M. Kohli, and G. Zussman, “Real-time RF canceler tuning in practical full-duplex radios,” in Proc. ACM Mobi\Com’25 Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH’25), 2025.

Phase and Amplitude Based Canceller Performance Dataset

This dataset contains the performance of the P&A-based canceller across numerous environments. Data collections are still underway. There are preliminary collections below.

Dataset 1: Canceller performance across 30 environments

• 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).
• 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.