Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm

Downlink beamforming is a key technology for cellular networks. However, computing beamformers that maximize the weighted sum rate (WSR) subject to a power constraint is an NP-hard problem. The popular weighted minimum mean square error (WMMSE) algorithm converges to a local optimum but still exhibi...

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Bibliographic Details
Published in:	IEEE open journal of the Communications Society Vol. 3; pp. 65 - 81
Main Authors:	Pellaco, Lissy, Bengtsson, Mats, Jalden, Joakim
Format:	Journal Article
Language:	English
Published:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation algorithms Array signal processing Base stations Beamforming Cellular communication Complexity Complexity theory Computer architecture Convergence Deep unfolding Downlink downlink beamforming Downlinking Inversions iterative optimization algorithm Machine learning Network architecture neural network Neural networks Optimization weighted MMSE algorithm
ISSN:	2644-125X, 2644-125X
Online Access:	Get full text
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