Power Control for Passive QAM Multisensor Backscatter Communication Systems
To achieve good quality of service level such as throughput, power control is of great importance to passive quadrature amplitude modulation (QAM) multisensor backscatter communication systems. First, we established the RF energy harvesting model and gave the energy condition. In order to minimize t...
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| Veröffentlicht in: | Journal of sensors 2017-01, Vol.2017 (2017), p.1-9 |
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| creator | Shi, Yanfeng Yan, Tingting Mo, Jinrong Hu, Shengbo |
| description | To achieve good quality of service level such as throughput, power control is of great importance to passive quadrature amplitude modulation (QAM) multisensor backscatter communication systems. First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. Especially, for a given consumed power of sensor, it can be seen that the throughput decreases with the duty cycle and the number of sensors has little effect on the throughput. |
| doi_str_mv | 10.1155/2017/4319709 |
| format | Article |
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First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. Especially, for a given consumed power of sensor, it can be seen that the throughput decreases with the duty cycle and the number of sensors has little effect on the throughput.</description><identifier>ISSN: 1687-725X</identifier><identifier>EISSN: 1687-7268</identifier><identifier>DOI: 10.1155/2017/4319709</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Antennas ; Backscattering ; Circuits ; Communication ; Efficiency ; Energy ; Energy conservation ; Energy harvesting ; International conferences ; Mathematical models ; Open access ; Power consumption ; Power control ; Quadrature amplitude modulation ; Quality of service ; Radio frequency identification ; Sensors ; Subcarriers ; Transceivers ; Wireless networks</subject><ispartof>Journal of sensors, 2017-01, Vol.2017 (2017), p.1-9</ispartof><rights>Copyright © 2017 Shengbo Hu et al.</rights><rights>Copyright © 2017 Shengbo Hu et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-d200d57f410f338c0483a1801875cbbca5423a20566788c8380993b6d88689223</citedby><cites>FETCH-LOGICAL-c427t-d200d57f410f338c0483a1801875cbbca5423a20566788c8380993b6d88689223</cites><orcidid>0000-0003-2224-2353 ; 0000-0002-7891-2451</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><contributor>El-Bendary, Nashwa</contributor><creatorcontrib>Shi, Yanfeng</creatorcontrib><creatorcontrib>Yan, Tingting</creatorcontrib><creatorcontrib>Mo, Jinrong</creatorcontrib><creatorcontrib>Hu, Shengbo</creatorcontrib><title>Power Control for Passive QAM Multisensor Backscatter Communication Systems</title><title>Journal of sensors</title><description>To achieve good quality of service level such as throughput, power control is of great importance to passive quadrature amplitude modulation (QAM) multisensor backscatter communication systems. First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. 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First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. 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| subjects | Antennas Backscattering Circuits Communication Efficiency Energy Energy conservation Energy harvesting International conferences Mathematical models Open access Power consumption Power control Quadrature amplitude modulation Quality of service Radio frequency identification Sensors Subcarriers Transceivers Wireless networks |
| title | Power Control for Passive QAM Multisensor Backscatter Communication Systems |
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