Performance analysis of correlated multi-channels in cognitive radio sensor network based smart grid

Ogbodo, EU; Dorrell, DG; Abu-Mahfouz, AM

Performance analysis of correlated multi-channels in cognitive radio sensor network based smart grid

Ogbodo, EU Dorrell, DG

Abu-Mahfouz, AM

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Publication Type:: Conference Proceeding
Citation:: 2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017, 2017, pp. 1599 - 1604
Issue Date:: 2017-11-03

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Field	Value	Language
dc.contributor.author	Ogbodo, EU	en_US
dc.contributor.author	Dorrell, DG https://orcid.org/0000-0001-8060-3386	en_US
dc.contributor.author	Abu-Mahfouz, AM	en_US
dc.date.issued	2017-11-03	en_US
dc.identifier.citation	2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017, 2017, pp. 1599 - 1604	en_US
dc.identifier.isbn	9781538627754	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127471
dc.description.abstract	© 2017 IEEE. Recently, cognitive radio based sensor network (CRSN) has been introduced into Smart Grids (SG) in order to address the problems of spectrum inefficiency and interferences. CRSN has the capability of opportunistic spectrum access (OSA) to dynamically allocate radio resources to the sensor nodes. However, one of the CRSN challenges is the problem of dual/multi correlation fading channels due to dual/multi antenna channels of the sensor nodes as well as very close spacing of sensor nodes deployment in a SG environment. This correlation can lead to degradation of the signals as well as co-channels interference. In addition, the signal-interference-noise-ratio (SINR), multipath fading, and shadowing peculiar to SG harsh environmental condition including interference from SG equipment also pose great challenges to CRSN based SG. All these problems have attracted research attentions; however, research regarding the problem of correlated signals in SG has not been considered. Hence, this paper aims to address the problem of correlation in multi fading channels. Consequently, an MGF based performance analysis of M-QAM error probability over Nakagami-q dual correlated fading channels with maximum ratio combiner (MRC) receiver technique has been derived using analytical method of trapezoidal numerical integration. An algorithmic approach which is based on a proposed transformation technique has been introduced. The error probability performance analysis is then carried out in MATLAB simulation, the simulations result agrees with the analytical/theoretical result with overlapping curves. Finally, the produced results show that dual correlated channels degrade the signal performance.	en_US
dc.relation.ispartof	2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017	en_US
dc.relation.isbasedon	10.1109/AFRCON.2017.8095721	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Performance analysis of correlated multi-channels in cognitive radio sensor network based smart grid	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	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
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. Recently, cognitive radio based sensor network (CRSN) has been introduced into Smart Grids (SG) in order to address the problems of spectrum inefficiency and interferences. CRSN has the capability of opportunistic spectrum access (OSA) to dynamically allocate radio resources to the sensor nodes. However, one of the CRSN challenges is the problem of dual/multi correlation fading channels due to dual/multi antenna channels of the sensor nodes as well as very close spacing of sensor nodes deployment in a SG environment. This correlation can lead to degradation of the signals as well as co-channels interference. In addition, the signal-interference-noise-ratio (SINR), multipath fading, and shadowing peculiar to SG harsh environmental condition including interference from SG equipment also pose great challenges to CRSN based SG. All these problems have attracted research attentions; however, research regarding the problem of correlated signals in SG has not been considered. Hence, this paper aims to address the problem of correlation in multi fading channels. Consequently, an MGF based performance analysis of M-QAM error probability over Nakagami-q dual correlated fading channels with maximum ratio combiner (MRC) receiver technique has been derived using analytical method of trapezoidal numerical integration. An algorithmic approach which is based on a proposed transformation technique has been introduced. The error probability performance analysis is then carried out in MATLAB simulation, the simulations result agrees with the analytical/theoretical result with overlapping curves. Finally, the produced results show that dual correlated channels degrade the signal performance.

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http://hdl.handle.net/10453/127471