Low-Complexity ADMM-Based Algorithm for Robust Multi-Group Multicast Beamforming in Large-Scale Systems

We design an efficient robust multi-group multicast beamforming scheme for massive multiple-input multiple-output (MIMO) systems. Assuming only estimates of the channel covariance matrices are available at the base station with a bounded error, we formulate the robust quality-of-service (QoS) proble...

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Vydáno v:	IEEE transactions on signal processing Ročník 70; s. 2046 - 2061
Hlavní autoři:	Mohamadi, Niloofar, Dong, Min, ShahbazPanahi, Shahram
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms alternating direction method of multipliers (ADMM) Array signal processing Beamforming Closed form solutions Complexity Convergence Covariance matrix Exact solutions Interference Iterative algorithms Iterative methods large-scale systems low-complexity Multicast algorithms Multicasting Optimization Optimization techniques Quality of service Robust multicast beamforming Robustness Signal processing algorithms Signal to noise ratio
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
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