This is a code package related to the following scientific article:
Wentao Zhou, Di Zhang, Mérouane Debbah, and Inkyu Lee, "Robust Precoding Designs for Multiuser MIMO Systems with Limited Feedback," IEEE Transactions on Wireless Communications, To appear.
This package includes simulation codes for the numerical results and figures in the article. Enjoy the reproducible research!
It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the number of feedback bits is not sufficient. To overcome such a rate degradation, we propose new robust precoding designs which can compensate for the quantization errors. In this paper, we first analyze the achievable rate of traditional precoding designs for limited feedback systems. Then, we obtain an approximation of the second-order statistics of quantized channel state information. With the aid of the derived approximation, we propose robust precoding designs in terms of the mean square error (MSE) with conditional expectation in non-iterative and iterative fashions. For the non-iterative precoding design, we study a robust minimum MSE (MMSE) precoding algorithm by extending a new channel decomposition. Also, in the case of iterative precoding, we investigate a robust weighted MMSE (WMMSE) precoding to further improve the achievable rate. Simulation results show that the proposed precoding schemes yield significant improvements over traditional precoding designs.
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIT) under Grants 2022R1A5A1027646.
This code package is licensed under the GPLv2 license. If you in any way use this code for research that results in publications, please cite our original article listed above.