Transmission Strategy for Simultaneous Wireless Information and Power Transfer with a Non-Linear Rectifier Model

Most studies determining data rate or power conversion efficiency (PCE) of simultaneous wireless information and power transfer (SWIPT) focus on ideal models for the non-linear energy harvester, or focus on simplified waveforms that carry no information. In this paper, we study SWIPT using realistic waveforms and a measurement-based energy harvesting model. For a special class of multisine waveforms carrying only information in the phase, we analyze PCE as a function of waveform design, including the impact of pre-equalization to mitigate wireless channel distortion. A balanced pre-equalizer that trades off between the peak-to-average power ratio (PAPR) and signal to noise ratio, maximizing the total PCE is proposed. The impact on the information rate of the analyzed waveforms is also presented. The results show that balanced pre-equalizers can improve the total PCE more than three times within 5% rate loss compared to the pre-equalizer that solely maximizes the signal PAPR or the capacity using the same transmit power. We also show that the maximum normalized PCE is increased by a factor of two by only allowing phase modulation to ensure the PAPR of one symbol, compared to traditional modulation schemes that carry information in both phase and amplitude to maximize spectral efficiency.

[1]  Apostolos Georgiadis,et al.  Spatial Power Combining of Multi-Sine Signals for Wireless Power Transmission Applications , 2014, IEEE Transactions on Microwave Theory and Techniques.

[2]  Victor C. M. Leung,et al.  Proportional Fairness-Based Beamforming and Signal Splitting for MISO-SWIPT Systems , 2017, IEEE Communications Letters.

[3]  Sofie Pollin,et al.  Modulation Techniques for Simultaneous Wireless Information and Power Transfer With an Integrated Rectifier–Receiver , 2018, IEEE Transactions on Microwave Theory and Techniques.

[4]  Feng Wang,et al.  Robust Transceiver Optimization for Power-Splitting Based Downlink MISO SWIPT Systems , 2015, IEEE Signal Processing Letters.

[5]  Bruno Clerckx,et al.  Communications and Signals Design for Wireless Power Transmission , 2016, IEEE Transactions on Communications.

[6]  Yunlong Cai,et al.  Energy Efficiency Optimization for MISO SWIPT Systems With Zero-Forcing Beamforming , 2016, IEEE Transactions on Signal Processing.

[7]  Bruno Clerckx,et al.  Waveform Design for Wireless Power Transfer , 2016, IEEE Transactions on Signal Processing.

[8]  Derrick Wing Kwan Ng,et al.  Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems , 2015, IEEE Communications Letters.

[9]  Liang Liu,et al.  Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems , 2013, IEEE Transactions on Wireless Communications.

[10]  A. Collado,et al.  Optimal Waveforms for Efficient Wireless Power Transmission , 2014, IEEE Microwave and Wireless Components Letters.

[11]  Rui Zhang,et al.  Wireless powered communication networks: an overview , 2015, IEEE Wireless Communications.

[12]  Sofie Pollin,et al.  Bandwidth Analysis of RF-DC Converters Under Multisine Excitation , 2018, IEEE Transactions on Microwave Theory and Techniques.

[13]  Sofie Pollin,et al.  Enhanced Biased ASK Modulation Performance for SWIPT With AWGN Channel and Dual-Purpose Hardware , 2018, IEEE Transactions on Microwave Theory and Techniques.

[14]  Robert Reams,et al.  Hadamard inverses, square roots and products of almost semidefinite matrices , 1999 .

[15]  Bruno Clerckx,et al.  Low-Complexity Adaptive Multisine Waveform Design for Wireless Power Transfer , 2017, IEEE Antennas and Wireless Propagation Letters.

[16]  Bruno Clerckx,et al.  Toward 1G Mobile Power Networks: RF, Signal, and System Designs to Make Smart Objects Autonomous , 2017, IEEE Microwave Magazine.