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 in | ETRI journal Vol. 36; no. 5; pp. 808 - 818 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Electronics and Telecommunications Research Institute (ETRI)
01.10.2014
한국전자통신연구원 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1225-6463 2233-7326 |
| DOI | 10.4218/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. |
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| 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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| CitedBy_id | crossref_primary_10_1155_2016_7101207 crossref_primary_10_1109_ACCESS_2017_2757267 crossref_primary_10_1109_TMTT_2015_2398444 crossref_primary_10_1016_j_comnet_2020_107548 |
| Cites_doi | 10.1109/LAWP.2011.2150192 10.1002/0471200611 10.1088/0022-3727/39/18/004 10.1016/j.aop.2007.04.017 10.1109/TIE.2009.2023633 10.1109/TWC.2013.031813.120224 10.1109/GLOCOM.2010.5683339 10.1109/TAP.2010.2048858 10.1109/TCSII.2010.2048403 10.1063/1.1510945 10.1063/1.3284651 10.1016/j.adhoc.2006.04.003 10.1126/science.1143254 10.1109/IB2COM.2010.5723607 10.1109/79.841722 10.1109/ISIT.2008.4595260 10.1109/TAP.2012.2189696 10.1109/TPEL.2009.2017195 10.1109/TCSI.2011.2180446 |
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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 http://etrij.etri.re.kr/etrij/journal/article/article.do?volume=36&issue=5&page=808 G704-001110.2014.36.5.015 |
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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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