Joint detection scheme for cooperative spectrum sensing in cognitive radio network

Nan, Y; Zhao, C; Li, B

Joint detection scheme for cooperative spectrum sensing in cognitive radio network

Nan, Y

Zhao, C Li, B

Permalink

Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: Eurasip Journal on Wireless Communications and Networking, 2016, 2016, (1), pp. 79
Issue Date:: 2016-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (1.3 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Nan, Y https://orcid.org/0000-0002-1745-117X
dc.contributor.author	Zhao, C
dc.contributor.author	Li, B
dc.date.accessioned	2022-08-16T20:46:30Z
dc.date.available	2022-08-16T20:46:30Z
dc.date.issued	2016-12-01
dc.identifier.citation	Eurasip Journal on Wireless Communications and Networking, 2016, 2016, (1), pp. 79
dc.identifier.issn	1687-1472
dc.identifier.issn	1687-1499
dc.identifier.uri	http://hdl.handle.net/10453/160381
dc.description.abstract	In this paper, a new architecture of cognitive radio network (CRN) is presented for future dynamic spectrum sharing in time-variant flat fading (TVFF) channels. We consider a practical scenario where secondary users (SUs) are able to access the idle spectrum by secondary user routers (SU_Rs). Managed by a fusion center (FC), SU_Rs can work together to capture the idle spectrum, and then assign to the SUs. Besides, it is imperative to guarantee the wireless communication quality between primary base station (P_BS) and SU_Rs. Therefore, a new cooperative spectrum sensing (CSS) algorithm is suggested to recursively estimate the channel state information (CSI) while capturing the idle licensed band. The united mathematics model relies on a dynamic state-space model (DSM) and a Bernoulli filters (BF) algorithm. TVFF channels are modeled as finite-state Markov channel (FSMC). In order to reduce complexity of CSS, the particles are manipulated and reconstructed. Experimental simulations demonstrate that, by exploiting dynamic CSI, sensing performance of the new CSS algorithm will surpass the traditional schemes and this new architecture can be used in a realistic spectrum sharing system.
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	Eurasip Journal on Wireless Communications and Networking
dc.relation.isbasedon	10.1186/s13638-016-0570-z
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0806 Information Systems, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Joint detection scheme for cooperative spectrum sensing in cognitive radio network
dc.type	Journal Article
utslib.citation.volume	2016
utslib.for	0806 Information Systems
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
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
utslib.copyright.status	open_access	*
dc.date.updated	2022-08-16T20:46:29Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	2016
utslib.citation.issue	1

Abstract:

In this paper, a new architecture of cognitive radio network (CRN) is presented for future dynamic spectrum sharing in time-variant flat fading (TVFF) channels. We consider a practical scenario where secondary users (SUs) are able to access the idle spectrum by secondary user routers (SU_Rs). Managed by a fusion center (FC), SU_Rs can work together to capture the idle spectrum, and then assign to the SUs. Besides, it is imperative to guarantee the wireless communication quality between primary base station (P_BS) and SU_Rs. Therefore, a new cooperative spectrum sensing (CSS) algorithm is suggested to recursively estimate the channel state information (CSI) while capturing the idle licensed band. The united mathematics model relies on a dynamic state-space model (DSM) and a Bernoulli filters (BF) algorithm. TVFF channels are modeled as finite-state Markov channel (FSMC). In order to reduce complexity of CSS, the particles are manipulated and reconstructed. Experimental simulations demonstrate that, by exploiting dynamic CSI, sensing performance of the new CSS algorithm will surpass the traditional schemes and this new architecture can be used in a realistic spectrum sharing system.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/160381