Power Allocation and Scheduling for SWIPT Systems with Non-linear Energy Harvesting Model
Boshkovska E, Morsi R, Ng DWK, Schober R (2016)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Original article
Publication year: 2016
Journal
Event location: Kuala Lumpur
URI: https://ieeexplore.ieee.org/document/7511403/
Abstract
In this paper, we design a resource allocation algorithm for multiuser simultaneous wireless information and power transfer systems for a realistic non-linear energy harvesting (EH) model. In particular, the algorithm design is formulated as a non-convex optimization problem for the maximization of the long-term average total harvested power at EH receivers subject to quality of service requirements for information decoding receivers. To obtain a tractable solution, we transform the corresponding non-convex sum-of-ratios objective function into an equivalent objective function in parametric subtractive form. This leads to a computationally efficient iterative resource allocation algorithm. Numerical results reveal a significant performance gain that can be achieved if the resource allocation algorithm design is based on the non-linear EH model instead of the traditional linear model.
Authors with CRIS profile
Elena Boshkovska
Lehrstuhl für Digitale Übertragung
Rania Morsi
Lehrstuhl für Digitale Übertragung
Robert Schober
Lehrstuhl für Digitale Übertragung
Involved external institutions
Australia (AU)How to cite
APA:
Boshkovska, E., Morsi, R., Ng, D.W.K., & Schober, R. (2016). Power Allocation and Scheduling for SWIPT Systems with Non-linear Energy Harvesting Model. In IEEE (Eds.), Proceedings of the International Conference on Communications ICC. Kuala Lumpur, MY.
MLA:
Boshkovska, Elena, et al. "Power Allocation and Scheduling for SWIPT Systems with Non-linear Energy Harvesting Model." Proceedings of the International Conference on Communications ICC, Kuala Lumpur Ed. IEEE, 2016.
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