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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Bibliographic Details

Published in:	Computer communications Vol. 145; pp. 146 - 160
Main Authors:	Chen, Lingling, Li, Qi, Zhao, Xiaohui, Fang, Zhiyi, Peng, Furong, Wang, Jiaqi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2019
Subjects:	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 Access:	Get full text
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