Game theoretic approach for smallcell resource management

Lin, S; Ni, W; Tian, H; Liu, RP; Liu, B

Game theoretic approach for smallcell resource management

Lin, S Ni, W

Tian, H Liu, RP

Liu, B

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Publication Type:: Conference Proceeding
Citation:: 2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings, 2015
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Lin, S	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Tian, H	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Liu, B	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings, 2015	en_US
dc.identifier.isbn	9781467395267	en_US
dc.identifier.uri	http://hdl.handle.net/10453/104641
dc.description.abstract	© 2015 IEEE. Smallcells can provide high-quality radio coverage in indoor environment. However, resource management and interference mitigation are key challenges, resulting from the heterogeneous backhaul and the uncoordinated nature of smallcells. We propose a new game theoretic approach, where the transmit power of smallcells evolve in a distributed manner, adapting to traffic demands and mitigating interference. The key idea is to formulate smallcells' clustering as an evolutionary game, where the smallcells independently switch to less interfered clusters. At every evolutionary stage, a non-cooperative game is cast to balance the transmit powers within each cluster. Limited signalling is exchanged between the clusters, adjusting future evolution. Compared to the prior art, simulations show that our approach can improve the network throughput by 10.2%.	en_US
dc.relation.ispartof	2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOCOMW.2015.7414070	en_US
dc.title	Game theoretic approach for smallcell resource management	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. Smallcells can provide high-quality radio coverage in indoor environment. However, resource management and interference mitigation are key challenges, resulting from the heterogeneous backhaul and the uncoordinated nature of smallcells. We propose a new game theoretic approach, where the transmit power of smallcells evolve in a distributed manner, adapting to traffic demands and mitigating interference. The key idea is to formulate smallcells' clustering as an evolutionary game, where the smallcells independently switch to less interfered clusters. At every evolutionary stage, a non-cooperative game is cast to balance the transmit powers within each cluster. Limited signalling is exchanged between the clusters, adjusting future evolution. Compared to the prior art, simulations show that our approach can improve the network throughput by 10.2%.

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http://hdl.handle.net/10453/104641