  We study the viability of using power spectrum clustering wedges as summary
statistics of 21cm surveys during the Epoch of Reionization (EoR). For
observations along a large lightcone $z\sim 7-9$, the power spectrum is subject
to large anisotropic effects due to the evolution along the light-of-sight.
Information on the physics of reionization can be extracted from the anisotropy
using the power spectrum multipoles. Signals of the power spectrum monopole are
highly correlated at scales smaller than the typical ionization bubble, which
can be disentangled by including higher-order multipoles. By simulating
observations of the low frequency part of the SKA Observatory, we find that the
sampling of the cylindrical wavenumber $k$-space is highly non-uniform due to
the baseline distribution. Measurements in clustering wedges can be used for
isolating parts of $k$-space with relatively uniform sampling, allowing for
more precise parameter inference. Using Fisher Matrix forecasts, we find that
the reionization model can be inferred with per-cent level precision with $\sim
120$hrs of integration time using SKA-Low. Comparing to using only the power
spectrum monopole above the foreground wedge, model inference using multipole
power spectra in clustering wedges yields a factor of $\sim 3$ improvement on
parameter constraints.
