Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation

Stochastic network optimization problems entail finding resource allocation policies that are optimum on an average but must be designed in an online fashion. Such problems are ubiquitous in communication networks, where resources such as energy and bandwidth are divided among nodes to satisfy certa...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 66; H. 9; S. 2229 - 2244
Hauptverfasser:	Bedi, Amrit Singh, Rajawat, Ketan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms asynchronous algorithm Beamforming Communication networks Convergence Delays incremental algorithm Machine learning algorithms Optimization Resource allocation Resource management Signal processing algorithms Stochastic processes Stochastic subgradient
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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