Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks

Hoang, DT; Niyato, D; Wang, P; Kim, DI; Han, Z

Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks

Hoang, DT

Niyato, D Wang, P Kim, DI Han, Z

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2017, 65 (9), pp. 3659 - 3674
Issue Date:: 2017-09-01

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Field	Value	Language
dc.contributor.author	Hoang, DT https://orcid.org/0000-0002-9528-0863	en_US
dc.contributor.author	Niyato, D	en_US
dc.contributor.author	Wang, P	en_US
dc.contributor.author	Kim, DI	en_US
dc.contributor.author	Han, Z	en_US
dc.date.issued	2017-09-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2017, 65 (9), pp. 3659 - 3674	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124752
dc.description.abstract	© 1972-2012 IEEE. This paper introduces a new solution to improve the performance for secondary systems in radio frequency (RF) powered cognitive radio networks (CRNs). In a conventional RF-powered CRN, the secondary system works based on the harvest-then-transmit protocol. That is, the secondary transmitter (ST) harvests energy from primary signals and then uses the harvested energy to transmit data to its secondary receiver (SR). However, with this protocol, the performance of the secondary system is much dependent on the amount of harvested energy as well as the primary channel activity, e.g., idle and busy periods. Recently, ambient backscatter communication has been introduced, which enables the ST to transmit data to the SR by backscattering ambient signals. Therefore, it is potential to be adopted in the RF-powered CRN. We investigate the performance of RF-powered CRNs with ambient backscatter communication over two scenarios, i.e., overlay and underlay CRNs. For each scenario, we formulate and solve the optimization problem to maximize the overall transmission rate of the secondary system. Numerical results show that by incorporating such two techniques, the performance of the secondary system can be improved significantly compared with the case when the ST performs either harvest-then-transmit or ambient backscatter technique.	en_US
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2017.2710338	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	65	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0804 Data Format	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	65	en_US

Abstract:

© 1972-2012 IEEE. This paper introduces a new solution to improve the performance for secondary systems in radio frequency (RF) powered cognitive radio networks (CRNs). In a conventional RF-powered CRN, the secondary system works based on the harvest-then-transmit protocol. That is, the secondary transmitter (ST) harvests energy from primary signals and then uses the harvested energy to transmit data to its secondary receiver (SR). However, with this protocol, the performance of the secondary system is much dependent on the amount of harvested energy as well as the primary channel activity, e.g., idle and busy periods. Recently, ambient backscatter communication has been introduced, which enables the ST to transmit data to the SR by backscattering ambient signals. Therefore, it is potential to be adopted in the RF-powered CRN. We investigate the performance of RF-powered CRNs with ambient backscatter communication over two scenarios, i.e., overlay and underlay CRNs. For each scenario, we formulate and solve the optimization problem to maximize the overall transmission rate of the secondary system. Numerical results show that by incorporating such two techniques, the performance of the secondary system can be improved significantly compared with the case when the ST performs either harvest-then-transmit or ambient backscatter technique.

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http://hdl.handle.net/10453/124752