Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization-Part II: Applications

In Part I of this paper, we proposed and analyzed a novel algorithmic framework, termed penalty dual decomposition (PDD), for the minimization of a nonconvex nonsmooth objective function, subject to difficult coupling constraints. Part II of this paper is devoted to evaluation of the proposed method...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 68; pp. 4242 - 4257
Main Authors:	Shi, Qingjiang, Hong, Mingyi, Fu, Xiao, Chang, Tsung-Hui
Format:	Journal Article
Language:	English
Published:	New York IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Array signal processing Beamforming Broadcasting antennas Communication networks Convergence Couplings Decomposition matrix factorization Multicast Multicast algorithms multicast beamforming Optimization Penalty dual decomposition Relays Signal processing algorithms Structured matrices sum-rate maximization
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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