Weighted Sum Rate Maximization of Correlated MISO Interference Broadcast Channels under Linear Precoding: A Large System Analysis

The weighted sum rate (WSR) maximizing linear precoder algorithm is studied in large correlated multiple-input single output (MISO) interference broadcast channels (IBC). We consider an iterative WSR design which exploits the connection with Weighted sum Minimum Mean Squared Error (WMMSE) designs as in [1], [2] and [3], focusing on the version in [1]. We propose an asymptotic approximation of the signal- tointerference plus noise ratio (SINR) at every iteration. We also propose asymptotic approximations for Matched Filter (MF) precoders. Simulations show that the approximations are accurate, especially when the channels are correlated.