Momentum-based distributed resource scheduling optimization subject to sector-bound nonlinearity and latency

This paper proposes an accelerated consensus-based distributed iterative algorithm for resource allocation and scheduling. The proposed gradient-tracking algorithm introduces an auxiliary variable to add momentum towards the optimal state. We prove that this solution is all-time feasible, implying t...

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Veröffentlicht in:	Systems & control letters Jg. 199; S. 106062
Hauptverfasser:	Doostmohammadian, Mohammadreza, Gabidullina, Zulfiya R., Rabiee, Hamid R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2025
Schlagworte:	Consensus Convex analysis Distributed constrained optimization Graph theory Resource scheduling and allocation Distributed constrained optimization Resource scheduling and allocation Graph theory Consensus Convex analysis
ISSN:	0167-6911
Online-Zugang:	Volltext
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