Efficient Far-Field Radio Frequency Energy Harvesting for Passively Powered Sensor Networks

By Triet Le, Kartikeya Mayaram, Terri S. Fiez. IEEE Journal of Solid-State Circuits, 2008

799 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/9681a36e36ef75a27d10e7f09e08737197d09ecb

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Citations in the corpus

RF energy harvesting systems: An overview and design issues (2018, background): “small signal equivalent in order to approximate the behavior with linear equations.(55) This is not applicable to the RFEH”
— Invited Paper — Backscatter Communication and RFID: Coding, Energy, and MIMO Analysis (2014, background): “Note that measurements from an actual harvester [23] show that the relationship is nearly linear once a certain input power threshold is exceeded, but where this threshold occurs depends on numerous implementation speciﬁc details, such as the harvester’s architecture and the RF matching network…”
Co-Design of a CMOS Rectifier and Small Loop Antenna for Highly Sensitive RF Energy Harvesters (2014, background): “Some solutions have been proposed to reduce the rectifier turn-on voltage by using (near) zero transistors [10], [11], gate pre-biasing [12] or self-cancellation schemes [13]–[16].”
Differential Microstrip Antenna for RF Energy Harvesting (2015, background): “A differential input to the rectifier is preferred for enhancing the efficiency of energy harvesting circuits [2]–[4].”
Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks (2013, methodology): “Particularly, it has been reported in the recent literature that harvesting energy from ambient radio-frequency (RF) signals can power a network of lowpower devices such as wireless sensors [1]–[6].”
Towards Low-Power High-Efficiency RF and Microwave Energy Harvesting (2014, methodology): “Measured efficiency versus input power is extracted from [7] for the M/A-COM device, from [17] for the Powercast device, and from [14] and [13] for the Skyworks device at medium power and low power, respectively.”
Harvesting Wireless Power: Survey of Energy-Harvester Conversion Efficiency in Far-Field, Wireless Power Transfer Systems (2014, methodology): “Most of these techniques involve some method of providing additional voltage bias that effectively reduces the threshold voltage [40], [31], [32].”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “However, as shown in [34], to realize 5.”
A Flexible 2.45-GHz Power Harvesting Wristband With Net System Output From −24.3 dBm of RF Power (2018, methodology): “Also, integrated circuit implementations for 900 MHz are shown: Power-cast [45], Stoopman’14 [43], and Le’08 [46].”
Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer (2015, positive): “The framework is feasible since MPT has been proven in various experiments for powering small devices such as sensors [4] or even small-scale airplanes and helicopters [5].”
Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems (2015, methodology): “2 illustrates that the proposed non-linear EH model closely matches experimental results [7], [8] for the wireless power harvested by practical EH circuits.”
MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2011, background): “• In this paper, to simplify the analysis, it is assumed that th e energy conversion efficiency at the energy receiver is independent of the instantaneous amplitude of the receiv d radio signal, which is in general not true for practical RF energy harvesting circuits [21].”
A 90-nm CMOS Threshold-Compensated RF Energy Harvester (2011, background): “Impedance matching between the antenna and the rectifier is generally acknowledged as a crucial issue for the optimization of the overall system performance as the impedance matching network can perform a “passive amplification” of the input voltage [7].”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “linearities [5], [6], [50], [51].”
Ambient RF Energy Harvesting in Urban and Semi-Urban Environments (2013, neutral): “6-dBm input power [11].”
Simultaneous Information and Power Transfer for Broadband Wireless Systems (2012, background): “The optimal algorithms for those configurations with fixed coding rates are shown to sequentially allocate mobiles their required power for decoding in ascending order until the entire budgeted power is spent.”