Unsupervised Learning-Based Fast Beamforming Design for Downlink MIMO

Unsupervised Learning-Based Fast Beamforming Design for Downlink MIMO

In the downlink transmission scenario, power allocation and beamforming design at the transmitter are essential when using multiple antenna arrays. This paper considers a multiple input–multiple output broadcast channel to maximize the weighted sum-rate under the total power constraint. T...

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Bibliographic Details
Main Authors: Hao Huang, Wenchao Xia, Jian Xiong, Jie Yang, Gan Zheng, Xiaomei Zhu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
MIMO
beamforming
deep learning
unsupervised learning
network pruning
Online Access:https://ieeexplore.ieee.org/document/8586870/

Internet

https://ieeexplore.ieee.org/document/8586870/

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