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Multi-objective energy efficient resource allocation for WPCN
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dc.contributor.authorSharma, S.-
dc.contributor.authorYoon, W.-
dc.date.issued2018-01-01-
dc.identifier.issn0974-3154-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/30535-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059463075&origin=inward-
dc.description.abstractIn this paper, we propose an energy-efficient resource allocation scheme for a wireless powered communication network (WPCN). A multiple-objective optimization problem (MOOP) is formulated for the EE maximization for every user. We exploit fractional programming approach to convert the non-convex problem into a standard convex optimization problem. This allows us to derive an efficient iterative algorithm for Pareto optimal. Simulation results prove our theoretic findings and show that distributed massive multi input multi output (MIMO) performs better and higher as compared to that of centralized massive MIMO.-
dc.description.sponsorshipThis research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2016R1A2B4012752).-
dc.language.isoeng-
dc.publisherInternational Research Publication House-
dc.titleMulti-objective energy efficient resource allocation for WPCN-
dc.typeArticle-
dc.citation.endPage2043-
dc.citation.number12-
dc.citation.startPage2035-
dc.citation.titleInternational Journal of Engineering Research and Technology-
dc.citation.volume11-
dc.identifier.bibliographicCitationInternational Journal of Engineering Research and Technology, Vol.11 No.12, pp.2035-2043-
dc.identifier.scopusid2-s2.0-85059463075-
dc.identifier.urlhttp://www.irphouse.com/ijert18/ijertv11n12_16.pdf-
dc.subject.keywordEnergy efficiency-
dc.subject.keywordGeneralized fractional programming-
dc.subject.keywordPareto optimal-
dc.subject.keywordWireless powered communication network-
dc.type.otherArticle-
dc.subject.subareaSoftware-
dc.subject.subareaEnvironmental Engineering-
dc.subject.subareaChemical Engineering (all)-
dc.subject.subareaEnergy Engineering and Power Technology-
dc.subject.subareaEngineering (all)-
dc.subject.subareaHardware and Architecture-
dc.subject.subareaComputer Networks and Communications-
dc.subject.subareaArtificial Intelligence-
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