Downlink Covariance Estimation in URA FDD Massive MIMO systems

In this paper, we propose a novel low-complexity downlink channel covariance matrix estimation for massive multiple-input multiple-output systems in which the base station (BS) is equipped with a uniform rectangular antenna array (URA). This scheme can be expressed in the form of affine transformation which depends only on the uplink and downlink carrier frequencies, and the BS array configurations. An upper bound on the estimation error is derived, which shows that the accuracy of the proposed scheme increases with the number URA antennas, the compactness and differentiability class of the periodic extension of a non-linearly transformed version of the angular power spread. The Performance superiority of the proposed scheme over its existing counterparts is confirmed through simulations.