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. The classica...

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Bibliographic Details
Main Authors: Hao Huang, Wenchao Xia, Jian Xiong, Jie Yang, Gan Zheng, Xiaomei Zhu
Format: Default Article
Published: 2018
Subjects:
Mechanical engineering not elsewhere classified
MIMO
Beamforming
Deep learning
Unsupervised learning
Network pruning
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/36579
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https://hdl.handle.net/2134/36579

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