Performance analysis of wireless-powered cognitive radio networks with ambient backscatter
Abstract Ambient backscatter is a promising wireless communication technique where low-power users communicate with each other without any dedicated power source. These communicating users transmit their information by reflecting ambient radio-frequency (RF) signals. In this paper, we propose an amb...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2019-02-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13638-019-1367-7 |
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author | Daniyal Munir Syed Tariq Shah Kae Won Choi Tae-Jin Lee Min Young Chung |
author_facet | Daniyal Munir Syed Tariq Shah Kae Won Choi Tae-Jin Lee Min Young Chung |
author_sort | Daniyal Munir |
collection | DOAJ |
description | Abstract Ambient backscatter is a promising wireless communication technique where low-power users communicate with each other without any dedicated power source. These communicating users transmit their information by reflecting ambient radio-frequency (RF) signals. In this paper, we propose an ambient backscatter communications-assisted wireless-powered underlay cognitive radio network (CRN). The proposed CRN consists of a single primary transmitter (PT) and multiple primary receivers (PRs), secondary transmitters (STs), and secondary receivers (SRs). For efficient utilization of radio resources, the STs in the proposed scheme dynamically adopt either harvest-then-transmit mode or backscatter mode. Furthermore, PRs cooperate with STs to select an appropriate mode for their communication with SRs. To evaluate the performance of our proposed scheme, we conduct system-level simulations. Numerical results show that the performance of the secondary system can be improved in terms of throughput with minimum effect on the communication of primary users. |
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format | Article |
id | doaj.art-a64f5bdaf95a4cd49aedec6b37c4523e |
institution | Directory Open Access Journal |
issn | 1687-1499 |
language | English |
last_indexed | 2024-12-10T06:19:52Z |
publishDate | 2019-02-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Wireless Communications and Networking |
spelling | doaj.art-a64f5bdaf95a4cd49aedec6b37c4523e2022-12-22T01:59:22ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-02-012019111310.1186/s13638-019-1367-7Performance analysis of wireless-powered cognitive radio networks with ambient backscatterDaniyal Munir0Syed Tariq Shah1Kae Won Choi2Tae-Jin Lee3Min Young Chung4Department of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityDepartment of Electrical and Computer Engineering, Sungkyunkwan UniversityAbstract Ambient backscatter is a promising wireless communication technique where low-power users communicate with each other without any dedicated power source. These communicating users transmit their information by reflecting ambient radio-frequency (RF) signals. In this paper, we propose an ambient backscatter communications-assisted wireless-powered underlay cognitive radio network (CRN). The proposed CRN consists of a single primary transmitter (PT) and multiple primary receivers (PRs), secondary transmitters (STs), and secondary receivers (SRs). For efficient utilization of radio resources, the STs in the proposed scheme dynamically adopt either harvest-then-transmit mode or backscatter mode. Furthermore, PRs cooperate with STs to select an appropriate mode for their communication with SRs. To evaluate the performance of our proposed scheme, we conduct system-level simulations. Numerical results show that the performance of the secondary system can be improved in terms of throughput with minimum effect on the communication of primary users.http://link.springer.com/article/10.1186/s13638-019-1367-7Ambient backscatterUnderlay cognitive radioHarvest-then-transmit |
spellingShingle | Daniyal Munir Syed Tariq Shah Kae Won Choi Tae-Jin Lee Min Young Chung Performance analysis of wireless-powered cognitive radio networks with ambient backscatter EURASIP Journal on Wireless Communications and Networking Ambient backscatter Underlay cognitive radio Harvest-then-transmit |
title | Performance analysis of wireless-powered cognitive radio networks with ambient backscatter |
title_full | Performance analysis of wireless-powered cognitive radio networks with ambient backscatter |
title_fullStr | Performance analysis of wireless-powered cognitive radio networks with ambient backscatter |
title_full_unstemmed | Performance analysis of wireless-powered cognitive radio networks with ambient backscatter |
title_short | Performance analysis of wireless-powered cognitive radio networks with ambient backscatter |
title_sort | performance analysis of wireless powered cognitive radio networks with ambient backscatter |
topic | Ambient backscatter Underlay cognitive radio Harvest-then-transmit |
url | http://link.springer.com/article/10.1186/s13638-019-1367-7 |
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