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...

Celý popis

Podrobná bibliografie

Vydáno v:	Computer communications Ročník 145; s. 146 - 160
Hlavní autoři:	Chen, Lingling, Li, Qi, Zhao, Xiaohui, Fang, Zhiyi, Peng, Furong, Wang, Jiaqi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.09.2019
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!