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dc.contributor.authorZewde, Tewodros A.
dc.contributor.authorGursoy, M. Cenk
dc.date.accessioned2019-03-12T02:14:41Z
dc.date.available2019-03-12T02:14:41Z
dc.date.issued2019-02
dc.identifier.citationT. A. Zewde and M. C. Gursoy, "Optimal Resource Allocation for Energy-Harvesting Communication Networks Under Statistical QoS Constraints," in IEEE Journal on Selected Areas in Communications, vol. 37, no. 2, pp. 313-326, Feb. 2019.en_US
dc.identifier.issn0733-8716
dc.identifier.otherWOS:000457642100006
dc.identifier.urihttps://doi.org/10.1109/JSAC.2018.2872396
dc.identifier.urihttp://hdl.handle.net/10057/15879
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractIn this paper, we characterize the optimal strategies focusing on the throughput and the system energy efficiency of wireless-powered communication networks (WPCNs) in the presence of delay-limited sources. Each energy-harvesting user equipment is assumed to be subject to limitations on the buffer overflow probability, specified by the quality of service (QoS) exponent theta. Correspondingly, the time allocation strategies for downlink energy harvesting and uplink information transfer depend on these QoS constraints, potentially overriding the doubly near-far problem of WPCNs. We consider the non-orthogonal transmission and time-division multiple access protocols for the uplink information transfer of WPCN, and for both cases, we formulate energy efficiency and throughput maximizing problems to obtain the globally optimal solution that satisfy the statistical QoS constraints. Since these optimization problems fall into concave or pseudo-concave categories, Karush-Kuhn-Tucker conditions are necessary and sufficient for global optimality, using which we obtain analytical expressions for the optimal operating intervals. In addition, in several cases, due to difficulty in providing closed-form expressions, we develop algorithms to solve the problems numerically. Finally, we provide the simulation results to confirm and further analyze the theoretical characterizations. We mainly observe that QoS constraints primarily affect the optimal time allocation policies as well as achievable rate distribution among the users, enabling us to overcome the doubly near-far problem of energy-harvesting communications networks pointed out as one of the critical issues in the literature.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesIEEE Journal on Selected Areas in Communications;v.37:no.2
dc.subjectBuffer overflow probabilityen_US
dc.subjectEffective capacityen_US
dc.subjectEnergy efficiencyen_US
dc.subjectEnergy harvestingen_US
dc.subjectThroughputen_US
dc.subjectWireless information and power transferen_US
dc.titleOptimal resource allocation for energy-harvesting communication networks under statistical QoS constraintsen_US
dc.typeArticleen_US
dc.rights.holder© 2019, IEEEen_US


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