Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105626
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dc.contributorDepartment of Computing-
dc.creatorWang, F-
dc.creatorGuo, S-
dc.creatorYang, Y-
dc.creatorXiao, B-
dc.date.accessioned2024-04-15T07:35:30Z-
dc.date.available2024-04-15T07:35:30Z-
dc.identifier.issn1932-8184-
dc.identifier.urihttp://hdl.handle.net/10397/105626-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.en_US
dc.rightsThe following publication F. Wang, S. Guo, Y. Yang and B. Xiao, "Relay Selection and Power Allocation for Cooperative Communication Networks With Energy Harvesting," in IEEE Systems Journal, vol. 12, no. 1, pp. 735-746, March 2018 is available at https://doi.org/10.1109/JSYST.2016.2524634.en_US
dc.subjectCooperative networksen_US
dc.subjectEnergy harvesting (EH)en_US
dc.subjectGeneralized outer approximation (GOA)en_US
dc.subjectPower allocationen_US
dc.subjectRelay and power splitting ratio selectionen_US
dc.subjectSimultaneous information and energy transferen_US
dc.titleRelay selection and power allocation for cooperative communication networks with energy harvestingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage735-
dc.identifier.epage746-
dc.identifier.volume12-
dc.identifier.issue1-
dc.identifier.doi10.1109/JSYST.2016.2524634-
dcterms.abstractThis paper addresses the joint relay, power splitting ratio, and transmission power selection problem for an energy harvesting (EH) cooperative network, where the source and the relays can harvest energy from natural sources (e.g., solar) and radio frequency (RF) signals, respectively. To effectively use the harvested energy of the source, the relays are designed to employ the power splitting technique to scavenge energy from RF signals radiated by the source. The addressed problem is considered in both offline and online settings, with the objective to maximize system payoff, which is defined as the difference between system transmission benefit and system energy cost, and meanwhile to minimize system outage probability. In particular, direct transmission is considered in our study and relay transmission is selected dynamically based on the network channel conditions and the available energy of EH nodes. Our simulation results reveal that it is necessary to consider direct transmission and select relay transmission and power splitting ratio dynamically in some cases, which can greatly improve system performance. Besides, simulations also verify that considering system energy consumption is also meaningful for EH relaying systems, which can lead to a desired system performance by choosing some related parameters appropriately. In addition, we also show that the resource allocation models and the corresponding resource allocation schemes proposed can be extended to more general communication scenarios, e.g., when some relays scavenge energy from natural sources and others from RF signals.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE systems journal, Mar. 2018, v. 12, no. 1, p. 735-746-
dcterms.isPartOfIEEE systems journal-
dcterms.issued2018-03-
dc.identifier.scopus2-s2.0-84963668077-
dc.identifier.eissn1937-9234-
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0959en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Natural Science Key Foundation of Chongqing; Science and Technology Leading Talent Promotion Project of Chongqing; Fundamental Research Funds for the Central Universitiesen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS13307080en_US
dc.description.oaCategoryGreen (AAM)en_US
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