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dc.contributor.authorLiu ,Ying
dc.contributor.authorChang, Zheng
dc.contributor.authorMin, Geyong
dc.contributor.authorMao, Shiwen
dc.date.accessioned2022-05-02T08:08:05Z
dc.date.available2022-05-02T08:08:05Z
dc.date.issued2022
dc.identifier.citationLiu, Y., Chang, Z., Min, G., & Mao, S. (2022). Average Age of Information in Wireless Powered Mobile Edge Computing System. <i>IEEE Wireless Communications Letters</i>, <i>11</i>(8), 1585-1589. <a href="https://doi.org/10.1109/LWC.2022.3166562" target="_blank">https://doi.org/10.1109/LWC.2022.3166562</a>
dc.identifier.otherCONVID_117800222
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/80825
dc.description.abstractMobile edge computing (MEC) has been recognized as a promising technique to provide enhanced computation services for low-power wireless devices at the network edge. How to evaluate the timeliness of the task and data delivery is critical for the development of MEC applications. Considering a wireless powered MEC system, in this letter we study the average age of information (AoI), which is a crucial performance metric to measure the freshness of information. Specifically, in the considered system, a sensor node harvests energy from an energy transmitter and transmits computation tasks to the MEC server. The charging time of the sensor node’s capacitor, the waiting time and service time at the MEC server are taken into account when calculating the average AoI. The closed-form expression of the average AoI is obtained accordingly and evaluated through numerical simulations.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseriesIEEE Wireless Communications Letters
dc.rightsIn Copyright
dc.subject.otherage of information
dc.subject.otherwireless power transfer
dc.subject.otheredge computing
dc.subject.otherenergy harvesting
dc.titleAverage Age of Information in Wireless Powered Mobile Edge Computing System
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202205022490
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineSecure Communications Engineering and Signal Processingfi
dc.contributor.oppiaineTekniikkafi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineSecure Communications Engineering and Signal Processingen
dc.contributor.oppiaineEngineeringen
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1585-1589
dc.relation.issn2162-2337
dc.relation.numberinseries8
dc.relation.volume11
dc.type.versionacceptedVersion
dc.rights.copyright© 2022 IEEE
dc.rights.accesslevelopenAccessfi
dc.subject.ysolangaton tiedonsiirto
dc.subject.ysolangaton tekniikka
dc.subject.ysoenergia
dc.subject.ysoenergian kerääminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5445
jyx.subject.urihttp://www.yso.fi/onto/yso/p23070
jyx.subject.urihttp://www.yso.fi/onto/yso/p1310
jyx.subject.urihttp://www.yso.fi/onto/yso/p38234
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/LWC.2022.3166562
jyx.fundinginformationThis work has been partly supported by NSFC (No. 62071105). S. Mao’s work is supported in part by the NSF under Grant ECCS-1923717.
dc.type.okmA1


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