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dc.contributor.authorLiu, Tingting
dc.contributor.authorChang, Zheng
dc.contributor.authorLi, Jun
dc.contributor.authorShu, Feng
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorHan, Zhu
dc.date.accessioned2020-01-08T13:00:39Z
dc.date.available2020-01-08T13:00:39Z
dc.date.issued2019
dc.identifier.citationLiu, T., Chang, Z., Li, J., Shu, F., Ristaniemi, T., & Han, Z. (2019). Optimal Buffer Resource Allocation in Wireless Caching Networks. In <i>SPAWC 2019 : IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications</i>. IEEE. IEEE International Workshop on Signal Processing Advances in Wireless Communications. <a href="https://doi.org/10.1109/SPAWC.2019.8815539" target="_blank">https://doi.org/10.1109/SPAWC.2019.8815539</a>
dc.identifier.otherCONVID_32690927
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67176
dc.description.abstractWireless caching systems have been exhaustively investigated in recent years. Due to limited buffer capacity, and unbalanced arrival and service rates, the backlogs may exist in the caching node and even cause buffer overflow. In this paper, we first investigate the relationship among backlogs, buffer capacity, data arrival rate and service rate, utilizing the martingale theory which is flexible in handling any arrival and service processes. Then given a target buffer overflow probability, the minimal required buffer portion is determined. If the devoted buffer capacity can fulfill all serving users' minimal buffer requirements, an optimization problem is constructed with the objective to minimize the overall buffer overflow probability. The optimization solution is obtained by a modified waterfilling scheme. Finally, the numerical results are illustrated to demonstrate the superiority of the proposed scheme.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofSPAWC 2019 : IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications
dc.relation.ispartofseriesIEEE International Workshop on Signal Processing Advances in Wireless Communications
dc.rightsIn Copyright
dc.subject.otheroptimal buffer resource allocation
dc.subject.otherwireless caching networks
dc.titleOptimal Buffer Resource Allocation in Wireless Caching Networks
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202001081103
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.isbn978-1-5386-6528-2
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.relation.issn2325-3789
dc.type.versionacceptedVersion
dc.rights.copyright© 2019, IEEE
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Workshop on Signal Processing Advances in Wireless Communications
dc.subject.ysolangaton tiedonsiirto
dc.subject.ysooptimointi
dc.subject.ysolangattomat verkot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5445
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/SPAWC.2019.8815539
jyx.fundinginformationThis work is supported in part by the national natural science foundation of China under grant No. 61702258, 61771244, 61872184, in part by natural science foundation of Hebei Province of China, in part by US MURI, US NSF CNS-1717454, CNS-1731424, CNS-1702850, CNS-1646607.
dc.type.okmA4


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