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dc.contributor.authorMi, Xinru
dc.contributor.authorYang, Chungang
dc.contributor.authorChang, Zheng
dc.date.accessioned2020-01-13T11:59:06Z
dc.date.available2020-01-13T11:59:06Z
dc.date.issued2019
dc.identifier.citationMi, X., Yang, C., & Chang, Z. (2019). Multi-Resource Management for Multi-Tier Space Information Networks : A Cooperative Game. In <i>IWCMC 2019 : Proceedings of the 15th International wireless communications and mobile computing conference</i> (pp. 948-953). IEEE. International Wireless Communications and Mobile Computing Conference. <a href="https://doi.org/10.1109/iwcmc.2019.8766545" target="_blank">https://doi.org/10.1109/iwcmc.2019.8766545</a>
dc.identifier.otherCONVID_32171018
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67214
dc.description.abstractWith the drastic increase of space information network (SIN) traffic and the diversity of network traffic types, the optimal allocation of the scarce network resources is of great significance for optimizing the SIN system capability. In this paper, we propose a multi-resource management method for multi-tier SIN using the cooperative Nash bargaining solution. Since the original problem is a non-convex problem, we firstly make logarithmic transition, and then find a tightest lower bound function to convert the initial problem into a convex one. In order to carry out the optimal bandwidth and power allocation in SIN, we construct a joint bandwidth and power allocation (JBPA) algorithm. Simulation results show the performance improvement of the JBPA scheme and the convergence of JBPA algorithm.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofIWCMC 2019 : Proceedings of the 15th International wireless communications and mobile computing conference
dc.relation.ispartofseriesInternational Wireless Communications and Mobile Computing Conference
dc.rightsIn Copyright
dc.subject.otherNash bargaining solutions
dc.subject.otherresource allocation
dc.subject.otherspace information network
dc.subject.othertightest lower bound function
dc.titleMulti-Resource Management for Multi-Tier Space Information Networks : A Cooperative Game
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202001131153
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-1-5386-7747-6
dc.description.reviewstatuspeerReviewed
dc.format.pagerange948-953
dc.relation.issn2376-6492
dc.type.versionacceptedVersion
dc.rights.copyright© 2019 IEEE
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Wireless Communications and Mobile Computing Conference
dc.subject.ysolangaton tiedonsiirto
dc.subject.ysopeliteoria
dc.subject.ysooptimointi
dc.subject.ysotietoliikennesatelliitit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5445
jyx.subject.urihttp://www.yso.fi/onto/yso/p13476
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p5595
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/iwcmc.2019.8766545
jyx.fundinginformationThis work is supported by the open research fund of National Mobile Communications Research Laboratory Southeast UniversityNo. 2019D10; by the Fundamental Research Funds for the Central Universities(2018); by the National Science Foundation of China (91638202); .


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