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

Abstract

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 [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.

DOI: 10.1109/VTCSpring.2016.7504530

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Cite this paper

@inproceedings{Tabikh2016WeightedSR, title={Weighted Sum Rate Maximization of Correlated MISO Interference Broadcast Channels under Linear Precoding: A Large System Analysis}, author={Wassim Tabikh and Dirk T. M. Slock and Yi Yuan-Wu}, booktitle={VTC Spring}, year={2016} }