  Integer-forcing (IF) precoding is an alternative to linear precoding for
multi-user (MU) multiple-input-multiple-output (MIMO) channels, with the
potential to offer superior performance at a similar complexity. In this
letter, a low-complexity suboptimal method is proposed to optimize the
parameters of an IF scheme for any number of $K$ users. The proposed method
involves solving a relaxation of the problem followed by the application of a
lattice reduction algorithm and is shown to have an overall complexity of
$\mathcal{O}(K^3)$. Simulation results show that the proposed method achieves a
higher sum rate than a heuristic choice of parameters and significantly
outperforms conventional linear precoding in all simulated scenarios.
