Nov 27, 2019 · Abstract: Deep learning (DL) can effectively handle explosive data and solve the complicated non-convex problems.
To address this issue, we propose a deep clustering (DC) based codebook design for massive MIMO systems. At first, deep neural network (DNN) learns the key ...
Feb 25, 2019 · Motivated by the excellent classfication and analysis ability of clustering algorithms, we propose a K-means clustering based codebook design.
Recently, it is used to reduce the overhead of channel state information (CSI) feedback and improve the performance of the limited feedback massive MIMO systems ...
Deep Clustering-Based Codebook Design for Massive MIMO Systems · Convolutional neural network and clustering-based codebook design method for massive MIMO ...
However, DL based codebook design requires neural networks with complicated structure and large amount of training data for massive MIMO systems. Our prior ...
Jun 4, 2022 · In this paper, we propose a convolutional neural network (CNN) and clustering-based codebook design method.
Abstract: The codebook design is the most essential core technique in constrained feedback massive multi-input multi-output (MIMO) system communications.
[PDF] Convolutional Neural Network and Clustering-Based Codebook ...
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Nov 30, 2021 · In this paper, we proposed a CNN and clustering based codebook design for massive MIMO system, which significantly reduces the feedback overhead ...
Feb 25, 2019 · Motivated by the excellent classfication and analysis ability of clustering algorithms, we propose a K-means clustering based codebook design.
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