Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Computer Science Program
Date
2019-02-21Online Publication Date
2019-02-21Print Publication Date
2018-12Permanent link to this record
http://hdl.handle.net/10754/628870
Metadata
Show full item recordAbstract
In 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.Citation
Abdelhady AM, Amin O, Shihada B, Alouini M-S (2018) On the Optimization of Multi-Cell SLIPT Systems. 2018 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/GLOCOM.2018.8647447.Conference/Event name
2018 IEEE Global Communications Conference, GLOBECOM 2018Additional Links
https://ieeexplore.ieee.org/document/8647447ae974a485f413a2113503eed53cd6c53
10.1109/GLOCOM.2018.8647447