Subtopic Deep Dive
Wireless Power Transfer
Research Guide
What is Wireless Power Transfer?
Wireless Power Transfer (WPT) delivers electrical power wirelessly using inductive coupling, magnetic resonance, or far-field radiation for mid-to-long range applications in wireless networks.
WPT enables untethered charging of devices like sensors and electric vehicles via electromagnetic fields. Key techniques include magnetically coupled resonators (Sample et al., 2010, 1759 citations) and magnetic resonance for EV applications (Li and Mi, 2014, 2049 citations). Over 50 papers in the provided lists address WPT integration with energy harvesting relays (Nasir et al., 2013, 1941 citations).
Why It Matters
WPT powers wireless sensor networks without batteries, extending lifetime in IoT deployments (Pottie and Kaiser, 2000, 3218 citations). In electric vehicles, it supports dynamic charging on roads (Li and Mi, 2014, 2049 citations). For 6G networks, WPT enables simultaneous energy harvesting and data transfer via massive MIMO (Larsson et al., 2014, 6714 citations; Jiang et al., 2021, 1366 citations), reducing infrastructure costs.
Key Research Challenges
Efficiency at Distance
Power transfer drops rapidly beyond coil dimensions, limiting mid-range use. Hui et al. (2014, 1396 citations) review magneto-inductive losses over distance. Sample et al. (2010) experiment with range adaptation but achieve <1m efficiently.
Alignment Sensitivity
Misalignment between transmitter and receiver coils reduces coupling. Li and Mi (2014) highlight this for EV parking. Resonance tuning compensates partially but requires active feedback (Sample et al., 2010).
Multi-Device Interference
Charging multiple receivers causes cross-coupling and efficiency loss. Nasir et al. (2013) analyze relay protocols for shared RF energy. Massive MIMO may multiplex power beams (Larsson et al., 2014).
Essential Papers
Massive MIMO for next generation wireless systems
Erik G. Larsson, Ove Edfors, Fredrik Tufvesson et al. · 2014 · IEEE Communications Magazine · 6.7K citations
Multi-user MIMO offers big advantages over conventional point-to-point MIMO: it works with cheap single-antenna terminals, a rich scattering environment is not required, and resource allocation is ...
Wireless integrated network sensors
Gregory J. Pottie, William J. Kaiser · 2000 · Communications of the ACM · 3.2K citations
article Free Access Share on Wireless integrated network sensors Authors: G. J. Pottie Univ. of California, Los Angeles Univ. of California, Los AngelesView Profile , W. J. Kaiser Univ. of Californ...
Wireless Power Transfer for Electric Vehicle Applications
Siqi Li, Chris Mı · 2014 · IEEE Journal of Emerging and Selected Topics in Power Electronics · 2.0K citations
Wireless power transfer (WPT) using magnetic resonance is the technology which could set human free from the annoying wires. In fact, the WPT adopts the same basic theory which has already been dev...
Relaying Protocols for Wireless Energy Harvesting and Information Processing
Ali A. Nasir, Xiangyun Zhou, Salman Durrani et al. · 2013 · IEEE Transactions on Wireless Communications · 1.9K citations
An emerging solution for prolonging the lifetime of energy constrained relay\nnodes in wireless networks is to avail the ambient radio-frequency (RF) signal\nand to simultaneously harvest energy an...
Analysis, Experimental Results, and Range Adaptation of Magnetically Coupled Resonators for Wireless Power Transfer
Alanson P. Sample, Denis Meyer, Joshua R. Smith · 2010 · IEEE Transactions on Industrial Electronics · 1.8K citations
Wireless power technology offers the promise of cutting the last cord, allowing users to seamlessly recharge mobile devices as easily as data are transmitted through the air. Initial work on the us...
A Critical Review of Recent Progress in Mid-Range Wireless Power Transfer
S.Y.R. Hui, Wenxing Zhong, C. K. Lee · 2014 · IEEE Transactions on Power Electronics · 1.4K citations
Starting from Tesla’s principles of wireless power transfer a century ago, this critical review outlines recent magneto-inductive research activities on wireless power transfer with the transmissio...
A micro electromagnetic generator for vibration energy harvesting
Steve Beeby, Russel Torah, John Tudor et al. · 2007 · Journal of Micromechanics and Microengineering · 1.4K citations
Vibration energy harvesting is receiving a considerable amount of interest as a means for powering wireless sensor nodes. This paper presents a small (component volume 0.1 cm3, practical volume 0.1...
Reading Guide
Foundational Papers
Start with Sample et al. (2010) for resonator basics and experiments; Li and Mi (2014) for EV applications; Nasir et al. (2013) for energy harvesting protocols.
Recent Advances
Study Hui et al. (2014) mid-range review; Jiang et al. (2021) for 6G contexts; Larsson et al. (2014) massive MIMO synergies.
Core Methods
Magnetically coupled resonators tune frequency for max power (Sample et al., 2010); amplify-and-forward relays harvest RF while relaying (Nasir et al., 2013); dynamic wireless charging aligns coils via compensation (Li and Mi, 2014).
How PapersFlow Helps You Research Wireless Power Transfer
Discover & Search
Research Agent uses searchPapers with 'wireless power transfer resonance' to find Sample et al. (2010), then citationGraph reveals 1759 citing works on range extension, and findSimilarPapers links to Hui et al. (2014) for mid-range reviews.
Analyze & Verify
Analysis Agent applies readPaperContent to extract efficiency equations from Li and Mi (2014), verifies coupling models via verifyResponse (CoVe) against Sample et al. (2010) data, and runs PythonAnalysis with NumPy to simulate resonator Q-factors; GRADE scores evidence strength for EV claims.
Synthesize & Write
Synthesis Agent detects gaps in multi-device WPT from Nasir et al. (2013), flags contradictions in range claims across papers, and uses latexEditText with latexSyncCitations to draft sections; Writing Agent compiles via latexCompile and exportMermaid for power flow diagrams.
Use Cases
"Simulate WPT efficiency drop vs distance from Sample 2010 data"
Research Agent → searchPapers → Analysis Agent → readPaperContent + runPythonAnalysis (NumPy plot of coupling coefficient k vs d) → matplotlib efficiency curve output.
"Write LaTeX review of magnetic resonance WPT methods"
Research Agent → citationGraph (Sample/Hui cluster) → Synthesis → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → PDF with cited equations.
"Find code for WPT relay protocols like Nasir 2013"
Research Agent → exaSearch 'Nasir relaying energy harvest code' → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → MATLAB sim scripts for harvest-relay throughput.
Automated Workflows
Deep Research workflow scans 50+ WPT papers via searchPapers chains, structures reports on inductive vs resonant efficiency with GRADE grading. DeepScan applies 7-step CoVe to verify range claims in Hui et al. (2014) against experiments. Theorizer generates hypotheses for 6G WPT integration from Larsson (2014) and Jiang (2021).
Frequently Asked Questions
What defines Wireless Power Transfer?
WPT transfers power without wires using inductive, resonant, or radiative methods, as in magnetically coupled resonators (Sample et al., 2010).
What are core WPT methods?
Inductive coupling for short range, magnetic resonance for mid-range (Li and Mi, 2014), and RF far-field for long range with relays (Nasir et al., 2013).
What are key papers?
Foundational: Sample et al. (2010, 1759 cites) on resonators; Li and Mi (2014, 2049 cites) on EVs; Hui et al. (2014, 1396 cites) mid-range review.
What open problems exist?
Multi-device interference, long-range efficiency >10%, and safety limits remain unsolved; 6G integration via massive MIMO is emerging (Jiang et al., 2021).
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