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Article: Space-Time Signal Optimization for SWIPT: Linear versus Nonlinear Energy Harvesting Model

TitleSpace-Time Signal Optimization for SWIPT: Linear versus Nonlinear Energy Harvesting Model
Authors
Issue Date2018
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4234
Citation
IEEE Communications Letters, 2018, v. 22 n. 2, p. 408-411 How to Cite?
AbstractIn simultaneous wireless information and power transfer systems, optimization of transmit signals is critical to system performance. Although the optimization problem can be efficiently solved under a linear energy harvesting model, the obtained solution may not work well in practice, since the energy harvester contains nonlinear elements, such as diodes. On the other hand, while a nonlinear model can be used to capture the dynamics of energy harvesting circuits, it introduces additional complexity at the optimization stage. Specifically, under a nonlinear model, traditional convex optimization is not applicable, since the energy harvesting function is fractional. To address this challenge, this letter first derives an optimal solution for static channels by introducing pseudo-inverse of the nonlinear model. Then, an iterative algorithm that converges to a sub-optimal solution is proposed for time varying channels. With the developed methods, the performance-complexity tradeoff between linear and nonlinear models is illustrated.
Persistent Identifierhttp://hdl.handle.net/10722/259295
ISSN
2015 Impact Factor: 1.291
2015 SCImago Journal Rankings: 0.934

 

DC FieldValueLanguage
dc.contributor.authorWang, S-
dc.contributor.authorXia, M-
dc.contributor.authorWu, YC-
dc.date.accessioned2018-09-03T04:04:41Z-
dc.date.available2018-09-03T04:04:41Z-
dc.date.issued2018-
dc.identifier.citationIEEE Communications Letters, 2018, v. 22 n. 2, p. 408-411-
dc.identifier.issn1089-7798-
dc.identifier.urihttp://hdl.handle.net/10722/259295-
dc.description.abstractIn simultaneous wireless information and power transfer systems, optimization of transmit signals is critical to system performance. Although the optimization problem can be efficiently solved under a linear energy harvesting model, the obtained solution may not work well in practice, since the energy harvester contains nonlinear elements, such as diodes. On the other hand, while a nonlinear model can be used to capture the dynamics of energy harvesting circuits, it introduces additional complexity at the optimization stage. Specifically, under a nonlinear model, traditional convex optimization is not applicable, since the energy harvesting function is fractional. To address this challenge, this letter first derives an optimal solution for static channels by introducing pseudo-inverse of the nonlinear model. Then, an iterative algorithm that converges to a sub-optimal solution is proposed for time varying channels. With the developed methods, the performance-complexity tradeoff between linear and nonlinear models is illustrated.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4234-
dc.relation.ispartofIEEE Communications Letters-
dc.rightsIEEE Communications Letters. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2018 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.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleSpace-Time Signal Optimization for SWIPT: Linear versus Nonlinear Energy Harvesting Model-
dc.typeArticle-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/LCOMM.2017.2770142-
dc.identifier.hkuros289192-
dc.identifier.volume22-
dc.identifier.issue2-
dc.identifier.spage408-
dc.identifier.epage411-
dc.publisher.placeUnited States-

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