Successive Precoding and User Selection in MU-MIMO Broadcast Channel with Limited Feedback

In this paper, we propose a joint successive precoding and user selection algorithm in multi-user multipleinput multiple-output (MIMO) broadcast channel with limited feedback. The proposed scheme recalculates each user's best precoding vector by projecting the original precoding vector, which is obtained by limited feedback, onto the orthogonal complement space of the precoding vectors of the selected users. The base station (BS) then calculates the estimated signal-to-interference-plus-noise ratio (SINR) for each unselected user using the best precoding vector, and choose the one with the largest SINR. Numerical results illustrate the performance of the scheme.