GitHub - karthikupadhya/covarianceEstimation-massiveMIMO: This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.

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This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
LICENSE		LICENSE
Readme.txt		Readme.txt
code123.m		code123.m
code4.m		code4.m
fig123.m		fig123.m
fig4.m		fig4.m
genHexSample.m		genHexSample.m

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License and Referencing

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 K. Upadhya and S.A. Vorobyov, "Covariance matrix estimation for massive MIMO," IEEE Signal Processing Letters,  vol. 25, no. 4, pp. 546–550, Apr. 2018.

Purpose
This is a code package is related to the following scientific article:
K. Upadhya and S.A. Vorobyov, "Covariance matrix estimation for massive MIMO," IEEE Signal Processing Letters,  vol. 25, no. 4, pp. 546–550, Apr. 2018.
 

The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research! Please run fig123.m to generate Figs. 1 - 3 in the paper and fig4.m to generate Fig. 4 in the paper.

Feedback
Please report any bugs to Sergiy A. Vorobyov <svor[at]ieee[dot]org>.