Max-Min Fair Beamforming for SWIPT Systems with Non-Linear EH Model

Boshkovska E, Chen X, Dai L, Wing Kwan Ng D, Schober R (2017)


Publication Language: English

Publication Type: Conference contribution

Publication year: 2017

Event location: Toronto, ON CA

ISBN: 978-1-5090-5935-5

DOI: 10.1109/VTCFall.2017.8287987

Abstract

We study the beamforming design for multiuser systems with simultaneous wireless information and power transfer (SWIPT). Employing a practical non-linear energy harvesting (EH) model, the design is formulated as a non-convex optimization problem for the maximization of the minimum harvested power across several energy harvesting receivers. The proposed problem formulation takes into account imperfect channel state information (CSI) and a minimum required signal-to-interference-plus-noise ratio (SINR). The globally optimal solution of the design problem is obtained via the semidefinite programming (SDP) relaxation approach. Interestingly, we can show that at most one dedicated energy beam is needed to achieve optimality. Numerical results demonstrate that with the proposed design a significant performance gain and improved fairness can be provided to the users compared to two baseline schemes.

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How to cite

APA:

Boshkovska, E., Chen, X., Dai, L., Wing Kwan Ng, D., & Schober, R. (2017). Max-Min Fair Beamforming for SWIPT Systems with Non-Linear EH Model. In IEEE (Eds.), Proceedings of the 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). Toronto, ON, CA.

MLA:

Boshkovska, Elena, et al. "Max-Min Fair Beamforming for SWIPT Systems with Non-Linear EH Model." Proceedings of the 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), Toronto, ON Ed. IEEE, 2017.

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