A Novel CSI Feedback Approach for Massive MIMO Using LSTM-Attention CNN

A Novel CSI Feedback Approach for Massive MIMO Using LSTM-Attention CNN

In this paper, a novel mechanism is studied to improve the performance of the channel state information (CSI) feedback in massive multiple-input multiple-output (MIMO) systems. The proposed mechanism encompasses convolutional neural network (CNN)-based CSI compression and reconstruction structure. I...

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Bibliographic Details
Main Authors: Qi Li, Aihua Zhang, Pengcheng Liu, Jianjun Li, Chunlei Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Massive MIMO
frequency division duplex (FDD)
CSI feedback
long short-term memory (LSTM)
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/8949503/

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