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dc.contributor.authorWang, Wen-Jing
dc.contributor.authorYang, Hong-Chuan
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-04-24T06:46:19Z
dc.date.available2018-04-24T06:46:19Z
dc.date.issued2018-04-10
dc.identifier.citationWang W-J, Yang H-C, Alouini M-S (2018) Wireless Transmission of Big Data: A Transmission Time Analysis over Fading Channel. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2018.2822801.
dc.identifier.issn1536-1276
dc.identifier.doi10.1109/TWC.2018.2822801
dc.identifier.urihttp://hdl.handle.net/10754/627615
dc.description.abstractIn this paper, we investigate the transmission time of a large amount of data over fading wireless channel with adaptive modulation and coding (AMC). Unlike traditional transmission systems, where the transmission time of a fixed amount of data is typically regarded as a constant, the transmission time with AMC becomes a random variable, as the transmission rate varies with the fading channel condition. To facilitate the design and optimization of wireless transmission schemes for big data applications, we present an analytical framework to determine statistical characterizations for the transmission time of big data with AMC. In particular, we derive the exact statistics of transmission time over block fading channels. The probability mass function (PMF) and cumulative distribution function (CDF) of transmission time are obtained for both slow and fast fading scenarios. We further extend our analysis to Markov channel, where transmission time becomes the sum of a sequence of exponentially distributed time slots. Analytical expression for the probability density function (PDF) of transmission time is derived for both fast fading and slow fading scenarios. These analytical results are essential to the optimal design and performance analysis of future wireless transmission systems for big data applications.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8334702/
dc.rights(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectadaptive modulation and coding
dc.subjectBig Data
dc.subjectblock fading
dc.subjectCoherence
dc.subjectdistribution functions
dc.subjectEncoding
dc.subjectFading channels
dc.subjectMarkov channel
dc.subjectModulation
dc.subjectSignal to noise ratio
dc.subjectTransmission time
dc.subjectWireless communication
dc.titleWireless Transmission of Big Data: A Transmission Time Analysis over Fading Channel
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Wireless Communications
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada.
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T04:24:46Z
dc.date.published-online2018-04-10
dc.date.published-print2018


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