Weighted sum rate maximization of MISO interference broadcast channels via difference of convex functions programming: A large system analysis
The weighted sum rate (WSR) maximizing linear precoder algorithm is studied in large correlated multiple-input singleoutput (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 ,  and , focusing on the version in . 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.