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Tensor Learning-based Precoder Codebooks for FD-MIMO Systems
We find the best representation of the optimal precoder as a function of Kronecker Product (KP) of two low-dimensional precoders, respectively corresponding to the horizontal and vertical dimensions of the UPA, obtained from the tensor decomposition of the channel.
Learning on a Grassmann Manifold: CSI Quantization for Massive MIMO Systems
This paper focuses on the design of beamforming codebooks that maximize the average normalized beamforming gain for any underlying channel distribution.
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