Jointly Optimizing Stream Allocation, Beamforming and Combining Weights for the MIMO Interference Channel

We propose an algorithm whose goal is to maximize the sum rate of a set of interfering multiple-input multiple-output (MIMO) links by jointly optimizing which subset of transmitters should transmit, the number of streams for each transmitter (if any), and the beamforming and combining weights that support those streams. We present numerical results to illustrate that our algorithm achieves a sum rate higher than previously reported algorithms at high interference, and that it achieves comparable performance to the top-performing algorithms at medium and low interference. In one high-interference example with many links, our algorithm achieves a 65% higher sum rate than previously reported algorithms.