Constrained-MMSE Combining for Spatial Domain Self-Interference
Cancellation in Full-Duplex Massive MIMO Systems
Abstract
This paper deals with a new spatial domain-based self-interference
cancellation (SIC) method called constrained minimum mean square error
(C-MMSE) for massive multiple-input multiple-output (mMIMO) full-duplex
(FD) communication systems. The main idea is to treat the
self-interference (SI) signal emitted from an FD node as a particular
spatial stream arriving at the receiver part of that same FD node which
needs to be spatially postcoded along with other useful signals coming
from other transmitters, so that it falls into the null space of the
MIMO channel that includes the FD node transmitter part as an input. On
this basis, we first adapt the expressions of the spatial combiners with
respect to the conventional zero forcing (ZF) and minimum mean square
error combining (MMSE) criteria and show that the latter is not capable
to efficiently cancel the SI signal unless an additional constraint is
added to properly perform SIC. We hence design the new so-called C-MMSE
combiner and derive its expression. In addition to our proposal, the
originality of our work lies in the consideration of spherical wave
model (SWM) for modeling the SI channel, which is justified by the close
proximity of the transmit and receive antenna panels in the FD node.
We examine and compare the SIC performance of the adapted ZF combiner,
the adapted MMSE combiner and the newly introduced C-MMSE combiner by
evaluating the obtained spectral efficiency (SE). We also highlight the
robustness of the SWM-based SI channel modelling compared to
conventional planar wave modelling (PWM) and therefore the relevance of
using it.