Harvesting Wireless Power: Survey of Energy-Harvester Conversion Efficiency in Far-Field, Wireless Power Transfer Systems
By Christopher R. Valenta, G. Durgin. IEEE Microwave Magazine, 2014
829 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/013b4a0084843f2779434e558e5f9d4c9ab0c271
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Rui Zhang
- Robert Schober
- H. Vincent Poor
- Dusist Niyato
- Dong In Kim
- Jie Xu
- Derrick Wing Kwan Ng
- Bruno Clerckx
In Mechanical Engineering
Citations in the corpus
- Joint offloading and computing optimization in wireless powered mobile-edge computing systems (2017, background): “Note that the harvested DC power is generally nonlinear with respect to the received RF power [20], due to the nonlinear devices such as the diodes and diode-connected transistors.”
- A Novel Six-Band Dual CP Rectenna Using Improved Impedance Matching Technique for Ambient RF Energy Harvesting (2016, background): “Comprehensive comparisons of different rectifier circuits have been made in [21] and [22].”
- Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “linearities [5], [6], [50], [51].”
- Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems (2015, background): “In general, for low power, the RF energy conversion efficiency improves as the input power rises, but there are diminishing returns and limitations on the maximum possible harvested energy, as was evidently proved by field measurements [6]–[8].”
- Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “Various types of energy sources can be utilized to supplement energy supplies such as solar, wind, vibration, motion, electromagnetic (EM) wave [5]–[15].”
- Robust Resource Allocation for MIMO Wireless Powered Communication Networks Based on a Non-Linear EH Model (2016, background): “In particular, Mk denotes the maximum power that the EH receiver can harvest, as the EH circuit saturates if the received RF power is exceedingly large, while ak and bk can account for physical hardware phenomena, such as circuit sensitivity limitations and leakage currents [21]–[23].”
- Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (2015, background): “Existing literatures [12]–[14] also presented relevant reviews”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “RF-EH exploiting the ambient sources normally requires an intelligent process to monitor the communication frequency bands and time periods for harvesting opportunities.”
- A High-Efficiency Broadband Rectenna for Ambient Wireless Energy Harvesting (2015, background): “Various designs, such as single-band rectennas and arrays [1]–[7], multiband rectennas [8]–[12], and broadband rectenna arrays [13], have already been investigated and different antennas and rectifier designs have also been analyzed and summarized in such as [14] and [15].”