Wireless Information and Power Transfer: Rate-Energy Tradeoff for Nonlinear Energy Harvesting

In this paper, we study rate-energy (R-E) tradeoffs for simultaneous wireless information and power transfer (SWIPT). In the existing literature, by invoking a simplistic and ideal assumption of linear energy harvesting, the R-E tradeoff performance was analyzed only for the four SWIPT schemes: the dynamic power splitting, type-I on–off power splitting (OPS), static power splitting, and time switching. Different from such works, in this work, we consider the realistic and practical scenario of nonlinear energy harvesting. Furthermore, to characterize the R-E tradeoff with nonlinear energy harvesting, we propose a new SWIPT scheme, the generalized OPS (GOPS). As a special case of the proposed GOPS, we also investigate an additional SWIPT scheme, the type-II OPS. Through the analysis based on the realistic nonlinear models reported in the literature, we derive new theoretical results on the R-E tradeoff, which are in sharp contrast to those in the existing literature obtained with linear energy harvesting. Furthermore, we provide various useful insights into the SWIPT system with nonlinear energy harvesting.

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

[2]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[3]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2013 .

[4]  Zhu Han,et al.  Wireless Charging Technologies: Fundamentals, Standards, and Network Applications , 2015, IEEE Communications Surveys & Tutorials.

[5]  Dong In Kim,et al.  New SWIPT Using PAPR: How It Works , 2016, IEEE Wireless Communications Letters.

[6]  Jae-Mo Kang,et al.  Rate-Energy Tradeoff and Decoding Error Probability-Energy Tradeoff for SWIPT in Finite Code Length , 2017, IEEE Transactions on Wireless Communications.

[7]  J. Guo,et al.  An improved analytical model for RF-DC conversion efficiency in microwave rectifiers , 2012, 2012 IEEE/MTT-S International Microwave Symposium Digest.

[8]  Derrick Wing Kwan Ng,et al.  Secure SWIPT Networks Based on a Non-Linear Energy Harvesting Model , 2017, 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

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

[10]  K. J. Ray Liu,et al.  Rate-Energy Region of SWIPT for MIMO Broadcasting Under Nonlinear Energy Harvesting Model , 2017, IEEE Transactions on Wireless Communications.

[11]  Stephen P. Boyd,et al.  Bounding duality gap for separable problems with linear constraints , 2014, Computational Optimization and Applications.

[12]  Stephen P. Boyd,et al.  Maximizing a Sum of Sigmoids , 2014 .

[13]  Bruno Clerckx,et al.  Wireless information and power transfer over an AWGN channel: Nonlinearity and asymmetric Gaussian signaling , 2017, 2017 IEEE Information Theory Workshop (ITW).

[14]  Jae-Mo Kang,et al.  Mode Switching for SWIPT Over Fading Channel With Nonlinear Energy Harvesting , 2017, IEEE Wireless Communications Letters.

[15]  Gregory D. Durgin,et al.  Harvesting Wireless Power: Survey of Energy-Harvester Conversion Efficiency in Far-Field, Wireless Power Transfer Systems , 2014, IEEE Microwave Magazine.

[16]  Il-Min Kim,et al.  Wireless Information and Power Transfer: Rate-Energy Tradeoff for Equi-Probable Arbitrary-Shaped Discrete Inputs , 2016, IEEE Transactions on Wireless Communications.

[17]  K. Mayaram,et al.  Efficient Far-Field Radio Frequency Energy Harvesting for Passively Powered Sensor Networks , 2008, IEEE Journal of Solid-State Circuits.

[18]  Xiaojun Yuan,et al.  Distributed Energy Beamforming for Simultaneous Wireless Information and Power Transfer in the Two-Way Relay Channel , 2015, IEEE Signal Processing Letters.

[19]  Bruno Clerckx,et al.  Wireless Information and Power Transfer: Nonlinearity, Waveform Design, and Rate-Energy Tradeoff , 2016, IEEE Transactions on Signal Processing.

[20]  Xiangyun Zhou,et al.  Cutting the last wires for mobile communications by microwave power transfer , 2014, IEEE Communications Magazine.

[21]  Bruno Clerckx.  Waveform Optimization for SWIPT with Nonlinear Energy Harvester Modeling , 2016, WSA.

[22]  Bruno Clerckx,et al.  Wirelessly Powered Backscatter Communications: Waveform Design and SNR-Energy Tradeoff , 2017, IEEE Communications Letters.

[23]  Zhu Han,et al.  Wireless Networks With RF Energy Harvesting: A Contemporary Survey , 2014, IEEE Communications Surveys & Tutorials.

[24]  K. J. Ray Liu,et al.  Advances in Energy Harvesting Communications: Past, Present, and Future Challenges , 2016, IEEE Communications Surveys & Tutorials.

[25]  Derrick Wing Kwan Ng,et al.  Robust Resource Allocation for MIMO Wireless Powered Communication Networks Based on a Non-Linear EH Model , 2016, IEEE Transactions on Communications.

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