Wireless Energy Harvesting Using Signals from Multiple Fading Channels
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
EE program, King Abdullah University of Science and Technology, Thuwal, Mekkah Province, Saudi Arabia
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AbstractIn this paper, we study the average, the probability density function and the cumulative distribution function of the harvested power. In the study, 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.
CitationChen Y, Zhao N, Alouini M-S (2017) Wireless Energy Harvesting Using Signals from Multiple Fading Channels. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2017.2734665.
SponsorsThis research was supported in part by the Xinghai Scholars Program, in part by the Fundamental Research Funds for the Central Universities under DUT17JC43, and in part by the National Natural Science Foundation of China (NSFC) under Grant 61671101.