Receive Beamforming Design Based on a Multiple-State Interference Model

In this paper, we propose a multiple-state other-cell interference (OCI) model, which takes into account the interference variability and uncertainty created by scheduling and other fast resource allocation adaptivity. This situation is modeled by a set of states, each described by a spatial covariance matrix and a probability. In order to illustrate the usefulness of such a model, we study two receive beamforming design problems, one maximizing the average data rate and one maximizing the worst-case data rate. We compare the resulting performance with what can be obtained when state information is not available. We show theoretically and numerically that exploring the multiple-state OCI structure can improve the receive beamforming design efficiency, especially for cell-edge users in a interference-limited system.