Wireless Energy Harvesting Using Signals From Multiple Fading Channels

In this paper, we study the average, the probability density function, and the cumulative distribution function of the harvested power. The signals are transmitted from multiple sources. The channels are assumed to be either Rician fading or Gamma-shadowed Rician fading. The received signals are then harvested by using either a single harvester for simultaneous transmissions or multiple harvesters for transmissions at different frequencies, antennas or time slots. Both linear and nonlinear models for the energy harvester at the receiver are examined. Numerical results are presented to show that, when a large amount of harvested power is required, a single harvester or the linear range of a practical nonlinear harvester are more efficient, to avoid power outage. Further, the power transfer strategy can be optimized for fixed total power. Specifically, for Rayleigh fading, the optimal strategy is to put the total power at the source with the best channel condition and switch off all other sources, while for general Rician fading, the optimum magnitudes and phases of the transmitting waveforms depend on the channel parameters.

[1]  Simon R. Saunders,et al.  Antennas and Propagation for Wireless Communication Systems , 1999 .

[2]  Neelesh B. Mehta,et al.  Voluntary Energy Harvesting Relays and Selection in Cooperative Wireless Networks , 2010, IEEE Transactions on Wireless Communications.

[3]  Daniel Benevides da Costa,et al.  Effect of CCI on WPC With Time-Division Energy and Information Transmission , 2016, IEEE Wireless Communications Letters.

[4]  Yunfei Chen,et al.  Energy-Harvesting AF Relaying in the Presence of Interference and Nakagami-$m$ Fading , 2016, IEEE Transactions on Wireless Communications.

[5]  S. Scorcioni,et al.  A Reconfigurable Differential CMOS RF Energy Scavenger With 60% Peak Efficiency and -21 dBm Sensitivity , 2013, IEEE Microwave and Wireless Components Letters.

[6]  M. Bibinger Notes on the sum and maximum of independent exponentially distributed random variables with different scale parameters , 2013, 1307.3945.

[7]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[8]  Zhisheng Niu,et al.  Optimal Recursive Power Allocation for Energy Harvesting System With Multiple Antennas , 2015, IEEE Transactions on Vehicular Technology.

[9]  Yajun Wang,et al.  Wireless Powered Communication Networks Using Peer Harvesting , 2017, IEEE Access.

[10]  Fan Zhang,et al.  A 9.2µA gen 2 compatible UHF RFID sensing tag with −12dBm Sensitivity and 1.25µVrms input-referred noise floor , 2010, 2010 IEEE International Solid-State Circuits Conference - (ISSCC).

[11]  Gene H. Golub,et al.  Some modified matrix eigenvalue problems , 1973, Milestones in Matrix Computation.

[12]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .

[13]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[14]  Sun-Yeong Heo,et al.  Distribution of a Sum of Weighted Noncentral Chi-Square Variables , 2006 .

[15]  P. Moschopoulos,et al.  The distribution of the sum of independent gamma random variables , 1985 .

[16]  Ning Ge,et al.  Virtual MIMO in Multi-Cell Distributed Antenna Systems: Coordinated Transmissions with Large-Scale CSIT , 2013, IEEE Journal on Selected Areas in Communications.

[17]  Yong-xin Guo,et al.  A Dual-Band Rectenna Using Broadband Yagi Antenna Array for Ambient RF Power Harvesting , 2013, IEEE Antennas and Wireless Propagation Letters.

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

[19]  K. Philips,et al.  A self-calibrating RF energy harvester generating 1V at −26.3 dBm , 2013, 2013 Symposium on VLSI Circuits.

[20]  Huan Liu,et al.  A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables , 2009, Comput. Stat. Data Anal..

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

[22]  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.

[23]  Ali Abdi,et al.  K distribution: an appropriate substitute for Rayleigh-lognormal distribution in fading-shadowing wireless channels , 1998 .

[24]  Günes Karabulut-Kurt,et al.  Energy Harvesting From Multiple RF Sources in Wireless Fading Channels , 2016, IEEE Transactions on Vehicular Technology.

[25]  Hyungsik Ju,et al.  Throughput Maximization in Wireless Powered Communication Networks , 2013, IEEE Trans. Wirel. Commun..

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

[27]  Fang Li,et al.  A new polynomial approximation for J/sub v/ Bessel functions , 2005, 2005 Asia-Pacific Microwave Conference Proceedings.

[28]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[29]  Gordon L. Stüber Principles of mobile communication , 1996 .

[30]  Kaibin Huang,et al.  Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment , 2012, IEEE Transactions on Wireless Communications.

[31]  P. Takis Mathiopoulos,et al.  Diversity reception over generalized-K (KG) fading channels , 2007, IEEE Transactions on Wireless Communications.

[32]  Raed A. Abd-Alhameed,et al.  New Formula for Conversion Efficiency of RF EH and Its Wireless Applications , 2016, IEEE Transactions on Vehicular Technology.

[33]  P. D. Mitcheson,et al.  Ambient RF Energy Harvesting in Urban and Semi-Urban Environments , 2013, IEEE Transactions on Microwave Theory and Techniques.

[34]  Yunfei Chen,et al.  Predictive Modelling of RF Energy for Wireless Powered Communications , 2016, IEEE Communications Letters.

[35]  Zhisheng Niu,et al.  Recursive Waterfilling for Wireless Links With Energy Harvesting Transmitters , 2014, IEEE Transactions on Vehicular Technology.

[36]  He Chen,et al.  On the Performance of Multi-antenna Wireless-Powered Communications With Energy Beamforming , 2015, IEEE Transactions on Vehicular Technology.

[37]  G. Golub Some modified eigenvalue problems , 1971 .