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dc.contributor.authorIqbal, Muhammad Shahid
dc.contributor.authorÇöleri, Sinem
dc.contributor.authorŞadi, Yalçın
dc.date.accessioned2020-12-17T20:51:58Z
dc.date.available2020-12-17T20:51:58Z
dc.date.issued2020
dc.identifier.issn1550-3607en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3567
dc.identifier.urihttps://doi.org/10.1109/ICC40277.2020.9148904
dc.description.abstractIn this paper, we consider a full duplex wireless powered communication network where multiple users with RF energy harvesting capabilities communicate to a hybrid energy and information access point. An optimization framework is proposed with the objective of maximizing the sum throughput of the users subject to energy causality and maximum transmit power constraints considering a realistic energy harvesting model incorporating initial battery levels of the users. The joint optimization of power control, time allocation and scheduling is mathematically formulated as a mixed integer non linear programming problem which is hard to solve for a global optimum. The optimal power and time allocation and scheduling decisions are investigated separately based on the optimality analysis on the optimization variables. Optimal power and time allocation problem is proven to be convex for a given transmission order. Based on the derived optimality conditions, we propose a fast polynomial-time complexity heuristic algorithm. We illustrate that the proposed algorithm performs very close-to-optimal while significantly outperforming an equal time allocation based scheduling scheme.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumuen_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFull Duplexen_US
dc.subjectSchedulingen_US
dc.subjectThroughput Maximizationen_US
dc.subjectWireless Powered Communication Networksen_US
dc.titleThroughput Maximization for Full Duplex Wireless Powered Communication Networksen_US
dc.typeconferenceObjecten_US
dc.relation.journalIEEE International Conference on Communicationsen_US
dc.identifier.volume2020-Juneen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000606970301143en_US
dc.identifier.doi10.1109/ICC40277.2020.9148904en_US
dc.identifier.scopus2-s2.0-85089421950en_US
dc.institutionauthorŞadi, Yalçınen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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