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dc.contributor.authorWang, Wen-Jing
dc.contributor.authorYang, Hong Chuan
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2020-06-24T08:29:11Z
dc.date.available2020-06-24T08:29:11Z
dc.date.issued2019-12-12
dc.date.submitted2019-07-06
dc.identifier.citationWang, W.-J., Yang, H.-C., & Alouini, M.-S. (2020). Energy Consumption Analysis for Adaptive Transmission of Big Data Over Fading Channels: A Statistical Characterization. IEEE Transactions on Green Communications and Networking, 4(2), 365–374. doi:10.1109/tgcn.2019.2959077
dc.identifier.issn2473-2400
dc.identifier.doi10.1109/TGCN.2019.2959077
dc.identifier.urihttp://hdl.handle.net/10754/663820
dc.description.abstractWe study the energy consumption of the adaptive transmission of big data over fading channels. Transmission of big data usually lasts over multiple channel coherence time periods. With adaptive transmission, the transmission rate and/or power is adaptively adjusted according to the channel realization. The energy comsumption varies with channel realizations. We propose a novel analytical framework to statistically evaluate the energy consumption of adaptive big data transmission. For the slow fading scenario, we derive the exact probability density function (PDF) and cumulative distribution function (CDF) of energy consumed over Markov channels. For the fast fading cases, we apply the statistical mixture model to estimate the PDF of energy consumption for wireless transmission of big data adaptively. Selected numerical results are presented to illustrate and to validate the mathematical formulations. These analytical results will greatly benefit the study of big data applications in the wireless environment.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8931739/
dc.rights(c) 2019 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.titleEnergy Consumption Analysis for Adaptive Transmission of Big Data over Fading Channels: A Statistical Characterization
dc.typeConference Paper
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.eprint.versionPre-print
dc.contributor.institutionSchool of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
dc.identifier.volume4
dc.identifier.issue2
dc.identifier.pages365-374
kaust.personAlouini, Mohamed-Slim
dc.date.accepted2019-12-04
dc.identifier.eid2-s2.0-85085368252
dc.date.published-online2019-12-12
dc.date.published-print2020-06


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