Multi-Tone Signal Optimization for Wireless Power Transfer in the Presence of Wireless Communication Links

In this paper, we study optimization of multi-tone signals for wireless power transfer (WPT) systems. We investigate different non-linear energy harvesting models. Two of them are adopted to optimize the multi-tone signal according to the channel state information available at the transmitter. We sh...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2020-05, Vol.19 (5), p.3575-3590
Main Authors: Mouris, Boules A., Ghauch, Hadi, Thobaben, Ragnar, Jonsson, B. L. G.
Format: Article
Language:English
Subjects:
Antennas
Computer Science
Computer simulation
Constraints
Curve fitting
Energy harvesting
Integer programming
Linear programming
Mathematics
multi-tone optimization
non-linear energy harvester
Nonlinear systems
OFDM
Optimization
Polynomials
Radio frequency
Receivers
Receivers & amplifiers
Saturation
Transceivers
Wireless communication
Wireless communications
Wireless power transfer
Wireless power transmission
Wireless sensor networks
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Summary:In this paper, we study optimization of multi-tone signals for wireless power transfer (WPT) systems. We investigate different non-linear energy harvesting models. Two of them are adopted to optimize the multi-tone signal according to the channel state information available at the transmitter. We show that a second-order polynomial curve-fitting model can be utilized to optimize the multi-tone signal for any RF energy harvester design. We consider both single-antenna and multi-antenna WPT systems. In-band co-existing communication links are also considered in this work by imposing a constraint on the received power at the nearby information receiver to prevent its RF front end from saturation. We emphasize the importance of imposing such constraint by explaining how inter-modulation products, due to saturation, can cause high interference at the information receiver in the case of multi-tone signals. The multi-tone optimization problem is formulated as a non-convex linearly constrained quadratic program. Two globally optimal solution approaches using mixed-integer linear programming and finite branch-and-bound techniques are proposed to solve the problem. The achieved improvement resulting from applying both solution methods to the multi-tone optimization problem is highlighted through simulations and comparisons with other solutions existing in the literature.
ISSN:1536-1276
1558-2248
1558-2248
DOI:10.1109/TWC.2020.2974950