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dc.contributor.authorAbdelhady, Amr Mohamed Abdelaziz
dc.contributor.authorAmin, Osama
dc.contributor.authorShihada, Basem
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-10-04T13:16:48Z
dc.date.available2018-10-04T13:16:48Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10754/628870.1
dc.description.abstractIn this paper, we study the performance of simultaneous lightwave information and power transfer (SLIPT) systems of multi-cell indoor scenario. We aim to investigate the energy harvesting and data rate performance of multiple users while meeting the lightning constraints. To this end, we develop optimization frameworks and tune the light emitting diodes average currents to improve the performance of the SLIPT system. Firstly, we propose an algorithm to maximize the spectral efficiency (SE) subject to lighting and minimum harvested energy per user requirements. The proposed algorithm can be implemented in a distributed fashion with a reduced computational burden at each node. Then, we consider the energy harvesting maximization problem to investigate the maximum possible energy gain and its corresponding SE performance. Finally, we present some extensive simulations to explore the benefit of the optimization frameworks with respect to standard equal allocation setting. In addition, we monitor the effect of changing several system parameters on the two objectives and highlight the underlying trade-off between them.
dc.titleOn the Optimization of Multi-Cell SLIPT Systems
dc.typeConference Paper
dc.contributor.departmentCEMSE
dc.conference.dateDecember 2018
dc.conference.nameIEEE Globecom
dc.conference.locationAbu Dhabi
dc.eprint.versionPublisher's Version/PDF
refterms.dateFOA2018-10-04T13:16:49Z


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