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arXiv · 1509.02956

Practical Non-linear Energy Harvesting Model and Resource Allocation for SWIPT Systems

Elena Boshkovska·Derrick Wing Kwan Ng·Nikola Zlatanov·Robert Schober
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Abstract

In this letter, we propose a practical non-linear energy harvesting model and design a resource allocation algorithm for simultaneous wireless information and power transfer (SWIPT) systems. The algorithm design is formulated as a non-convex optimization problem for the maximization of the total harvested power at energy harvesting receivers subject to minimum required signal-to-interference-plus-noise ratios (SINRs) at multiple information receivers. We transform the considered non-convex objective function from sum-of-ratios form into an equivalent objective function in subtractive form, which enables the derivation of an efficient iterative resource allocation algorithm. In each iteration, a rank-constrained semidefinite program (SDP) is solved optimally by SDP relaxation. Numerical results unveil a substantial performance gain that can be achieved if the resource allocation design is based on the proposed non-linear energy harvesting model instead of the traditional linear model.

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Elena Boshkovska, Derrick Wing Kwan Ng, Nikola Zlatanov, Robert Schober. 2015-09-09. Practical Non-linear Energy Harvesting Model and Resource Allocation for SWIPT Systems. https://doi.org/10.1109/lcomm.2015.2478460

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