Game-theoretic approaches in heterogeneous networks

Wang, CY; Wei, HY; Bennis, M; Vasilakos, AV

Game-theoretic approaches in heterogeneous networks

Wang, CY Wei, HY Bennis, M Vasilakos, AV

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Publisher:: IGI Global
Publication Type:: Chapter
Citation:: Game Theory Framework Applied to Wireless Communication Networks, 2016, pp. 88-102
Issue Date:: 2016-08-26

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Field	Value	Language
dc.contributor.author	Wang, CY
dc.contributor.author	Wei, HY
dc.contributor.author	Bennis, M
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-12-03T23:32:41Z
dc.date.available	2022-12-03T23:32:41Z
dc.date.issued	2016-08-26
dc.identifier.citation	Game Theory Framework Applied to Wireless Communication Networks, 2016, pp. 88-102
dc.identifier.isbn	1466686421
dc.identifier.isbn	9781466686427
dc.identifier.uri	http://hdl.handle.net/10453/164072
dc.description.abstract	Improving capacity and coverage is one of the main issues in next-generation wireless communication. Heterogeneous networks (HetNets), which is currently investigated in LTE-Advanced standard, is a promising solution to enhance capacity and eliminate coverage holes in a cost-efficient manner. A HetNet is composed of existing macrocells and various types of small cells. By deploying small cells into the existing network, operators enhance the users' quality of service which are suffering from severe signal degradation at cell edges or coverage holes. Nevertheless, there are numerous challenges in integrating small cells into the existing cellular network due to the characteristics: unplanned deployment, intercell interference, economic potential, etc. Recently, game theory has been shown to be a powerful tool for investigating the challenges in HetNets. Several game-theoretic approaches have been proposed to model the distributed deployment and self-organization feature of HetNets. In this chapter, the authors first give an overview of the challenges in HetNets. Subsequently, the authors illustrate how game theory can be applied to solve issues related to HetNets.
dc.format.extent	16
dc.language	en
dc.publisher	IGI Global
dc.relation.ispartof	Game Theory Framework Applied to Wireless Communication Networks
dc.relation.isbasedon	10.4018/978-1-4666-8642-7.ch004
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Game-theoretic approaches in heterogeneous networks
dc.type	Chapter
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.consider-herdc	false
dc.date.updated	2022-12-03T23:32:40Z
pubs.place-of-publication	USA
pubs.publication-status	Published
dc.location	USA

Abstract:

Improving capacity and coverage is one of the main issues in next-generation wireless communication. Heterogeneous networks (HetNets), which is currently investigated in LTE-Advanced standard, is a promising solution to enhance capacity and eliminate coverage holes in a cost-efficient manner. A HetNet is composed of existing macrocells and various types of small cells. By deploying small cells into the existing network, operators enhance the users' quality of service which are suffering from severe signal degradation at cell edges or coverage holes. Nevertheless, there are numerous challenges in integrating small cells into the existing cellular network due to the characteristics: unplanned deployment, intercell interference, economic potential, etc. Recently, game theory has been shown to be a powerful tool for investigating the challenges in HetNets. Several game-theoretic approaches have been proposed to model the distributed deployment and self-organization feature of HetNets. In this chapter, the authors first give an overview of the challenges in HetNets. Subsequently, the authors illustrate how game theory can be applied to solve issues related to HetNets.

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http://hdl.handle.net/10453/164072