Simultaneous Information and Power Transfer Using Magnetic Resonance

To deal with the major challenges of embedded sensor networks, we consider the use of magnetic fields as a means of reliably transferring both information and power to embedded sensors. We focus on a power allocation strategy for an orthogonal frequency‐division multiplexing system to maximize the t...

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Published inETRI journal Vol. 36; no. 5; pp. 808 - 818
Main Authors Lee, Kisong, Cho, Dong‐Ho
Format Journal Article
LanguageEnglish
Published Electronics and Telecommunications Research Institute (ETRI) 01.10.2014
한국전자통신연구원
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ISSN1225-6463
2233-7326
DOI10.4218/etrij.14.0114.0161

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Abstract To deal with the major challenges of embedded sensor networks, we consider the use of magnetic fields as a means of reliably transferring both information and power to embedded sensors. We focus on a power allocation strategy for an orthogonal frequency‐division multiplexing system to maximize the transferred power under the required information capacity and total available power constraints. First, we consider the case of a co‐receiver, where information and power can be extracted from the same signal. In this case, we find an optimal power allocation (OPA) and provide the upper bound of achievable transferred power and capacity pairs. However, the exact calculation of the OPA is computationally complex. Thus, we propose a low‐complexity power reallocation algorithm. For practical consideration, we consider the case of a separated receiver (where information and power are transferred separately through different resources) and propose two heuristic power allocation algorithms. Through simulations using the Agilent Advanced Design System and Ansoft High Frequency Structure Simulator, we validate the magnetic‐inductive channel characteristic. In addition, we show the performances of the proposed algorithms by providing achievable ƞ‐C regions.
AbstractList To deal with the major challenges of embedded sensor networks, we consider the use of magnetic fields as a means of reliably transferring both information and power to embedded sensors. We focus on a power allocation strategy for an orthogonal frequency‐division multiplexing system to maximize the transferred power under the required information capacity and total available power constraints. First, we consider the case of a co‐receiver, where information and power can be extracted from the same signal. In this case, we find an optimal power allocation (OPA) and provide the upper bound of achievable transferred power and capacity pairs. However, the exact calculation of the OPA is computationally complex. Thus, we propose a low‐complexity power reallocation algorithm. For practical consideration, we consider the case of a separated receiver (where information and power are transferred separately through different resources) and propose two heuristic power allocation algorithms. Through simulations using the Agilent Advanced Design System and Ansoft High Frequency Structure Simulator, we validate the magnetic‐inductive channel characteristic. In addition, we show the performances of the proposed algorithms by providing achievable ƞ‐C regions.
To deal with the major challenges of embedded sensornetworks, we consider the use of magnetic fields as ameans of reliably transferring both information andpower to embedded sensors. We focus on a powerallocation strategy for an orthogonal frequency-divisionmultiplexing system to maximize the transferred powerunder the required information capacity and totalavailable power constraints. First, we consider the case ofa co-receiver, where information and power can beextracted from the same signal. In this case, we find anoptimal power allocation (OPA) and provide the upperbound of achievable transferred power and capacity pairs. However, the exact calculation of the OPA iscomputationally complex. Thus, we propose a lowcomplexitypower reallocation algorithm. For practicalconsideration, we consider the case of a separated receiver(where information and power are transferred separatelythrough different resources) and propose two heuristicpower allocation algorithms. Through simulations usingthe Agilent Advanced Design System and Ansoft HighFrequency Structure Simulator, we validate the magneticinductivechannel characteristic. In addition, we show theperformances of the proposed algorithms by providingachievable η-C regions. KCI Citation Count: 8
Author Lee, Kisong
Cho, Dong‐Ho
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crossref_primary_10_1109_TMTT_2015_2398444
crossref_primary_10_1016_j_comnet_2020_107548
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Notes This research was funded by the MSIP (Ministry of Science, ICT & Future Planning), Rep. of Korea in the ICT R&D Program 2014
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Snippet To deal with the major challenges of embedded sensor networks, we consider the use of magnetic fields as a means of reliably transferring both information and...
To deal with the major challenges of embedded sensornetworks, we consider the use of magnetic fields as ameans of reliably transferring both information...
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SubjectTerms embedded sensor networks
Magnetic induction communication
wireless power transfer
전자/정보통신공학
Title Simultaneous Information and Power Transfer Using Magnetic Resonance
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