  This paper focuses on robust transceiver design for throughput enhancement on
the interference channel (IC), under imperfect channel state information (CSI).
In this paper, two algorithms are proposed to improve the throughput of the
multi-input multi-output (MIMO) IC. Each transmitter and receiver has
respectively M and N antennas and IC operates in a time division duplex mode.
In the first proposed algorithm, each transceiver adjusts its filter to
maximize the expected value of signal-to-interference-plus-noise ratio (SINR).
On the other hand, the second algorithm tries to minimize the variances of the
SINRs to hedge against the variability due to CSI error. Taylor expansion is
exploited to approximate the effect of CSI imperfection on mean and variance.
The proposed robust algorithms utilize the reciprocity of wireless networks to
optimize the estimated statistical properties in two different working modes.
Monte Carlo simulations are employed to investigate sum rate performance of the
proposed algorithms and the advantage of incorporating variation minimization
into the transceiver design.
