Ultra-Low-Complexity Algorithms With Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems

In this work, we propose ultra-low-complexity design solutions for multi-group multicast beamforming in large-scale systems. For the quality-of-service (QoS) problem, by utilizing the optimal multicast beamforming structure obtained recently in [2], we convert the original problem into a non-convex...

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Vydané v:	IEEE transactions on signal processing Ročník 71; s. 1626 - 1641
Hlavní autori:	Zhang, Chong, Dong, Min, Liang, Ben
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Alternating direction method of multipliers Array signal processing Beamforming Closed form solutions Complexity Computational complexity Exact solutions extragradient algorithm First order algorithms Interference Iterative methods large-scale optimization low complexity Multicast algorithms multicast beamforming Multicasting optimal beamforming structure Optimization Quality of service Saddle points Signal processing algorithms Upper bounds
ISSN:	1053-587X, 1941-0476
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