In this paper, we study a waveform scheduling problem for a multi-receiver wireless power transfer (WPT) system considering time-varying channel conditions and minimum average output direct-current (DC) voltage requirement of each receiver. To this end, we formulate a stochastic optimization problem that aims at maximizing the average of the sum of output DC voltages of receivers while satisfying the minimum average output DC voltage requirements of all receivers, and by solving it, we develop a waveform scheduling algorithm. In the waveform scheduling algorithm, we need to solve a problem for maximizing the weighted-sum of output DC voltages of receivers, which is a non-convex optimization problem. To cope with this difficulty, we develop a low-complexity approximated algorithm with which the waveform for the multi-receiver WPT system is optimized to maximize the weighted sum of output DC voltages of receivers. Numerical results show that our waveform design algorithm provides the higher performance of the weighted-sum of the output DC voltages than the existing algorithms, and our opportunistic waveform scheduling provides good performance while well satisfying the minimum average output DC voltage requirement of each receiver.
|Number of pages||15|
|Journal||IEEE Transactions on Wireless Communications|
|Publication status||Published - 2020 Sept|
Bibliographical noteFunding Information:
Manuscript received August 27, 2019; revised January 7, 2020 and April 23, 2020; accepted April 26, 2020. Date of publication May 19, 2020; date of current version September 10, 2020. This work was supported by the Samsung Research Funding Center of Samsung Electronics under Project SRFC-IT1701-13. The associate editor coordinating the review of this article and approving it for publication was D. W. K. Ng. (Corresponding author: Jang-Won Lee.) The authors are with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: firstname.lastname@example.org; email@example.com; firstname.lastname@example.org).
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics