Semi-blind interference alignment over correlated wireless channels

Abstract

Semi-blind interference alignment (S-BIA) is a recently proposed interference cancellation technique on multiuser channels. S-BIA aligns interference signals with a given signal space by controlling transmit weights based on partial knowledge of channel coefficients. In this paper, we mathematically analyze the impact of channel correlation and numerically show that S-BIA is more robust against the channel correlation than ordinary multiple-input multiple-output (MIMO) systems.