Modelling social characteristics of mobile radio networks

Ma, J; Ni, W; Yin, J; Lin, S; Cui, H; Liu, RP; Fang, BX

Modelling social characteristics of mobile radio networks

Ma, J Ni, W

Yin, J Lin, S Cui, H Liu, RP

Fang, BX

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Publication Type:: Conference Proceeding
Citation:: 2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 1575 - 1580
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Ma, J	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Yin, J	en_US
dc.contributor.author	Lin, S	en_US
dc.contributor.author	Cui, H	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Fang, BX	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 1575 - 1580	en_US
dc.identifier.isbn	9781467363051	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121279
dc.description.abstract	© 2015 IEEE. Mobile communications are increasingly contributing to the Internet traffic. Users move within cellular networks and generate traffics of different types. In this paper, we propose to categorize cellular base stations from multiple dimensions. Key social characteristics of the base stations are jointly considered, including traffic fluctuation, user non-determinacy, temporal homogeneity and usage diversity. Our categorization is based on spectral clustering, which is able to leverage the multiple social characteristics. The results of the categorization indicate different application environments and scenarios. We further establish social models with important parameters derived for each of the categories. The applications to energy efficient wireless networks are studied. The proposed model is of practical value to facilitate designing, simulating, and evaluating network deployment.	en_US
dc.relation.ispartof	2015 IEEE International Conference on Communication Workshop, ICCW 2015	en_US
dc.relation.isbasedon	10.1109/ICCW.2015.7247404	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Modelling social characteristics of mobile radio networks	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	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.publication-status	Published	en_US

Abstract:

© 2015 IEEE. Mobile communications are increasingly contributing to the Internet traffic. Users move within cellular networks and generate traffics of different types. In this paper, we propose to categorize cellular base stations from multiple dimensions. Key social characteristics of the base stations are jointly considered, including traffic fluctuation, user non-determinacy, temporal homogeneity and usage diversity. Our categorization is based on spectral clustering, which is able to leverage the multiple social characteristics. The results of the categorization indicate different application environments and scenarios. We further establish social models with important parameters derived for each of the categories. The applications to energy efficient wireless networks are studied. The proposed model is of practical value to facilitate designing, simulating, and evaluating network deployment.

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http://hdl.handle.net/10453/121279