dc.contributor.author | Mi, Xinru | |
dc.contributor.author | Yang, Chungang | |
dc.contributor.author | Chang, Zheng | |
dc.date.accessioned | 2020-01-13T11:59:06Z | |
dc.date.available | 2020-01-13T11:59:06Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Mi, 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.other | CONVID_32171018 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/67214 | |
dc.description.abstract | With 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.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.ispartof | IWCMC 2019 : Proceedings of the 15th International wireless communications and mobile computing conference | |
dc.relation.ispartofseries | International Wireless Communications and Mobile Computing Conference | |
dc.rights | In Copyright | |
dc.subject.other | Nash bargaining solutions | |
dc.subject.other | resource allocation | |
dc.subject.other | space information network | |
dc.subject.other | tightest lower bound function | |
dc.title | Multi-Resource Management for Multi-Tier Space Information Networks : A Cooperative Game | |
dc.type | conference paper | |
dc.identifier.urn | URN:NBN:fi:jyu-202001131153 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.relation.isbn | 978-1-5386-7747-6 | |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 948-953 | |
dc.relation.issn | 2376-6492 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2019 IEEE | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | conferenceObject | |
dc.relation.conference | International Wireless Communications and Mobile Computing Conference | |
dc.subject.yso | langaton tiedonsiirto | |
dc.subject.yso | peliteoria | |
dc.subject.yso | optimointi | |
dc.subject.yso | tietoliikennesatelliitit | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p5445 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p13476 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p13477 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p5595 | |
dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
dc.relation.doi | 10.1109/iwcmc.2019.8766545 | |
jyx.fundinginformation | This 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); . | |
dc.type.okm | A4 | |