Deep learning driven beam selection for orthogonal beamforming with limited feedback
This letter studies deep learning methods for beam selection in multiuser beamforming with limited feedback. We construct a set of orthogonal random beams and allocate the beams to users to maximize the sum rate, based on limited feedback regarding the channel power on the orthogonal beams. We formu...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
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Series: | ICT Express |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959521001430 |