Optimal time scheduling for wireless-powered backscatter communication networks
This letter introduces a novel wireless-powered backscatter communication system which allows sensors to utilize RF signals transmitted from a dedicated RF energy source to transmit data. In the proposed system, when the RF energy source transmits RF signals, the sensors are able to backscatter the...
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sg-ntu-dr.10356-1401122020-05-26T07:59:51Z Optimal time scheduling for wireless-powered backscatter communication networks Nguyen, Van Huynh Hoang, Dinh Thai Niyato, Dusit Wang, Ping Kim, Dong In School of Computer Science and Engineering Engineering::Computer science and engineering Bistatic Backscatter Ambient Backscatter This letter introduces a novel wireless-powered backscatter communication system which allows sensors to utilize RF signals transmitted from a dedicated RF energy source to transmit data. In the proposed system, when the RF energy source transmits RF signals, the sensors are able to backscatter the RF signals to transmit data to the gateway and/or harvest energy from the RF signals for their operations. By integrating backscattering and energy harvesting techniques, we can optimize the network throughput of the system. In particular, we first formulate the time scheduling problem for the system, and then propose an optimal solution using convex optimization to maximize the overall network throughput. Numerical results show a significant throughput gain achieved by our proposed design over two other baseline schemes. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) 2020-05-26T07:59:50Z 2020-05-26T07:59:50Z 2018 Journal Article Nguyen, V. H., Hoang, D. T., Niyato, D., Wang, P., & Kim, D. I. (2018). Optimal time scheduling for wireless-powered backscatter communication networks. IEEE Wireless Communications Letters, 7(5), 820-823. doi:10.1109/LWC.2018.2827983 2162-2337 https://hdl.handle.net/10356/140112 10.1109/LWC.2018.2827983 2-s2.0-85045757250 5 7 820 823 en IEEE Wireless Communications Letters © 2018 IEEE. All rights reserved. |
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Engineering::Computer science and engineering Bistatic Backscatter Ambient Backscatter Nguyen, Van Huynh Hoang, Dinh Thai Niyato, Dusit Wang, Ping Kim, Dong In Optimal time scheduling for wireless-powered backscatter communication networks |
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This letter introduces a novel wireless-powered backscatter communication system which allows sensors to utilize RF signals transmitted from a dedicated RF energy source to transmit data. In the proposed system, when the RF energy source transmits RF signals, the sensors are able to backscatter the RF signals to transmit data to the gateway and/or harvest energy from the RF signals for their operations. By integrating backscattering and energy harvesting techniques, we can optimize the network throughput of the system. In particular, we first formulate the time scheduling problem for the system, and then propose an optimal solution using convex optimization to maximize the overall network throughput. Numerical results show a significant throughput gain achieved by our proposed design over two other baseline schemes. |
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School of Computer Science and Engineering |
author_facet |
School of Computer Science and Engineering Nguyen, Van Huynh Hoang, Dinh Thai Niyato, Dusit Wang, Ping Kim, Dong In |
format |
Article |
author |
Nguyen, Van Huynh Hoang, Dinh Thai Niyato, Dusit Wang, Ping Kim, Dong In |
author_sort |
Nguyen, Van Huynh |
title |
Optimal time scheduling for wireless-powered backscatter communication networks |
title_short |
Optimal time scheduling for wireless-powered backscatter communication networks |
title_full |
Optimal time scheduling for wireless-powered backscatter communication networks |
title_fullStr |
Optimal time scheduling for wireless-powered backscatter communication networks |
title_full_unstemmed |
Optimal time scheduling for wireless-powered backscatter communication networks |
title_sort |
optimal time scheduling for wireless-powered backscatter communication networks |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/140112 |
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1681057856353206272 |