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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380 Citations (Scopus)

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 minimumrequired 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.
Original languageEnglish
Pages (from-to)2082 - 2085
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number12
DOIs
Publication statusPublished - 2015

Keywords

  • Simultaneous wireless information and power transfer
  • non-linear energy harvesting model

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