Power Allocation and Scheduling for SWIPT Systems with Non-linear Energy Harvesting Model

Beitrag bei einer Tagung
(Originalarbeit)


Details zur Publikation

Autor(en): Boshkovska E, Morsi R, Ng DWK, Schober R
Herausgeber: IEEE
Jahr der Veröffentlichung: 2016
ISSN: 1550-3607
Sprache: Englisch


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.


FAU-Autoren / FAU-Herausgeber

Boshkovska, Elena
Lehrstuhl für Digitale Übertragung
Morsi, Rania
Lehrstuhl für Digitale Übertragung
Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung


Autor(en) der externen Einrichtung(en)
University of New South Wales (UNSW)


Zitierweisen

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.), . 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.

BibTeX: 

Zuletzt aktualisiert 2018-19-09 um 11:10