Model-driven learning for generic MIMO downlink beamforming with uplink channel information

Model-driven learning for generic MIMO downlink beamforming with uplink channel information

Accurate downlink channel information is crucial to the beamforming design, but it is difficult to obtain in practice. This paper investigates a deep learning-based optimization approach of the downlink beamforming to maximize the system sum rate, when only the uplink channel information is availabl...

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Bibliographic Details
Main Authors: Juping Zhang, Minglei You, Gan Zheng, Ioannis Krikidis, Liqiang Zhao
Format: Default Article
Published: 2021
Subjects:
Distributed computing and systems software not elsewhere classified
Networking & Telecommunications
Electrical and Electronic Engineering
Communications Technologies
CSI mapping
multicell cooperation
massive MIMO
beamforming
Model-driven deep learning
Distributed Computing
Online Access:https://hdl.handle.net/2134/17000494.v1
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https://hdl.handle.net/2134/17000494.v1

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