Multi-population coevolutionary dynamic multi-objective particle swarm optimization algorithm for power control based on improved crowding distance archive management in CRNs

This paper aims to resolve the problem of power control in underlay CRNs better. Firstly, a multi-objective optimization problem of maximizing the throughput of PUs and SUs is proposed, which satisfied the constraints of PU’ interference temperature, the normal communication quality of all users and...

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Veröffentlicht in:	Computer communications Jg. 145; S. 146 - 160
Hauptverfasser:	Chen, Lingling, Li, Qi, Zhao, Xiaohui, Fang, Zhiyi, Peng, Furong, Wang, Jiaqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2019
Schlagworte:	Cognitive radio networks Dynamic communication environment Power control algorithm The improved coevolutionary multi-objective particle swarm algorithm Underlay The improved coevolutionary multi-objective particle swarm algorithm Dynamic communication environment Cognitive radio networks Power control algorithm Underlay
ISSN:	0140-3664, 1873-703X
Online-Zugang:	Volltext
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