Abstract
The channel correlation matrix is a significant statistical measurement that must be accessible to estimate minimum mean square error (MMSE) channel state information (CSI) to execute pilot reassignment optimization in massive MIMO systems. The estimation error by the MMSE technique will be high if there is no prior knowledge of the channel. The channel correlation matrix is based on the temporal properties of the dynamic wireless channel and CSI. In this report, different distributions are proposed to update the spatial channel correlation matrix. The estimated correlation matrix is then used to predict the MMSE CSI in the perspective of the client terminal power in Gaussian, Rayleigh, and Laplacian channels.
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Mandal, B.K., Pramanik, A. (2020). Channel Estimation in Massive MIMO with Spatial Channel Correlation Matrix. In: Kalam, A., Niazi, K., Soni, A., Siddiqui, S., Mundra, A. (eds) Intelligent Computing Techniques for Smart Energy Systems. Lecture Notes in Electrical Engineering, vol 607. Springer, Singapore. https://doi.org/10.1007/978-981-15-0214-9_42
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DOI: https://doi.org/10.1007/978-981-15-0214-9_42
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