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dc.contributor.authorChen, Yunfei
dc.contributor.authorZhao, Nan
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2017-08-07T10:52:01Z
dc.date.available2017-08-07T10:52:01Z
dc.date.issued2017-08-01
dc.identifier.citationChen Y, Zhao N, Alouini M-S (2017) Wireless Energy Harvesting Using Signals from Multiple Fading Channels. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2017.2734665.
dc.identifier.issn0090-6778
dc.identifier.doi10.1109/TCOMM.2017.2734665
dc.identifier.urihttp://hdl.handle.net/10754/625304
dc.description.abstractIn this paper, we study the average, the probability density function and the cumulative distribution function of the harvested power. In the study, the signals are transmitted from multiple sources. The channels are assumed to be either Rician fading or Gamma-shadowed Rician fading. The received signals are then harvested by using either a single harvester for simultaneous transmissions or multiple harvesters for transmissions at different frequencies, antennas or time slots. Both linear and nonlinear models for the energy harvester at the receiver are examined. Numerical results are presented to show that, when a large amount of harvested power is required, a single harvester or the linear range of a practical nonlinear harvester are more efficient, to avoid power outage. Further, the power transfer strategy can be optimized for fixed total power. Specifically, for Rayleigh fading, the optimal strategy is to put the total power at the source with the best channel condition and switch off all other sources, while for general Rician fading, the optimum magnitudes and phases of the transmitting waveforms depend on the channel parameters.
dc.description.sponsorshipThis research was supported in part by the Xinghai Scholars Program, in part by the Fundamental Research Funds for the Central Universities under DUT17JC43, and in part by the National Natural Science Foundation of China (NSFC) under Grant 61671101.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7999248/
dc.rights(c) 2017 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.subjectCumulative distribution function
dc.subjectenergy harvesting
dc.subjectfading channels
dc.subjectnonlinear distortion
dc.subjectprobability density function
dc.subjectshadowing
dc.titleWireless Energy Harvesting Using Signals from Multiple Fading Channels
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentEE program, King Abdullah University of Science and Technology, Thuwal, Mekkah Province, Saudi Arabia
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Engineering, University of Warwick, Coventry, U.K. CV4 7AL
dc.contributor.institutionSchool of Inform. and Commun. Eng., Dalian University of Technology, Dalian, 116024, P. R. China
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T13:34:37Z
dc.date.published-online2017-08-01
dc.date.published-print2017-11


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