Evolutionary radio resource management in distributed femtocell networks

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

Evolutionary radio resource management in distributed femtocell networks

Lin, S Ni, W

Tian, H Liu, RP

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Publication Type:: Conference Proceeding
Citation:: 2015 22nd International Conference on Telecommunications, ICT 2015, 2015, pp. 168 - 173
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.date.issued	2015-01-01	en_US
dc.identifier.citation	2015 22nd International Conference on Telecommunications, ICT 2015, 2015, pp. 168 - 173	en_US
dc.identifier.isbn	9781479980789	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119915
dc.description.abstract	© 2015 IEEE. Femtocells are an integrating part of future cellular systems, where radio resource management is a challenge due to unbalanced backhaul delays and the hotspot nature of femtocells. We propose a new game theoretic framework, where the channel allocation and transmit powers evolve in a distributed manner, adapting to femtocells' topology and traffic demands. The key idea is to cast femtocells' clustering as an evolutionary game, where the femtocells independently switch to less interfered clusters. Within each cluster, we design a non-cooperative game to implement power control in the absence of centralized coordination. Simulations show that our approach is effective for timely interference mitigation and reliable topology management. The stability and scalability of our approach are also demonstrated.	en_US
dc.relation.ispartof	2015 22nd International Conference on Telecommunications, ICT 2015	en_US
dc.relation.isbasedon	10.1109/ICT.2015.7124677	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Evolutionary radio resource management in distributed femtocell 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. Femtocells are an integrating part of future cellular systems, where radio resource management is a challenge due to unbalanced backhaul delays and the hotspot nature of femtocells. We propose a new game theoretic framework, where the channel allocation and transmit powers evolve in a distributed manner, adapting to femtocells' topology and traffic demands. The key idea is to cast femtocells' clustering as an evolutionary game, where the femtocells independently switch to less interfered clusters. Within each cluster, we design a non-cooperative game to implement power control in the absence of centralized coordination. Simulations show that our approach is effective for timely interference mitigation and reliable topology management. The stability and scalability of our approach are also demonstrated.

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http://hdl.handle.net/10453/119915