Efficient MU-MIMO Beamforming Based on Majorization-Minimization and Deep Unfolding

To release the full potentials of massive multi-user multiple-input multiple-output (MU-MIMO) for wireless communication, beamforming design is a must. In this paper, three algorithms are progressively developed for the maximization of the weighted sum-rate (WSR) problem. First, an effective beamfor...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 24; no. 5; pp. 3949 - 3963
Main Authors:	Xu, Qian, Sun, Jianyong, Xu, Zongben
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation algorithms Array signal processing Beamforming Complexity Convergence deep unfolding Downlink Heuristic algorithms Interference majorization-minimization massive MIMO MIMO communication Optimization Signal to noise ratio Streams Wireless communication Wireless communications
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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