Broker based bipartite matching game for resource management in femtocell networks

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

Broker based bipartite matching game for resource management in femtocell networks

Lin, S Tian, H Ni, W

Liu, R

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Publication Type:: Conference Proceeding
Citation:: International Symposium on Wireless Personal Multimedia Communications, WPMC, 2015, 2015-January pp. 579 - 583
Issue Date:: 2015-01-19

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Field	Value	Language
dc.contributor.author	Lin, S	en_US
dc.contributor.author	Tian, H	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Liu, R https://orcid.org/0000-0001-7001-6305	en_US
dc.date.issued	2015-01-19	en_US
dc.identifier.citation	International Symposium on Wireless Personal Multimedia Communications, WPMC, 2015, 2015-January pp. 579 - 583	en_US
dc.identifier.isbn	9789860334074	en_US
dc.identifier.issn	1347-6890	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121256
dc.description.abstract	© 2014 National Institute of Information and Communicatio. Femtocells have great potential to enhance home cellular access and improve macrocell network efficiency by offload local traffic. However, dense deployment imposes critical challenges to resource management (i.e., interference mitigation and sub-channels allocation).In this paper, to formulate this resource management of femtocell, we propose broker based many-to-many bipartite matching game and develop a new distributed solution to the game. The key idea of our solution is that we propose clustering strategy to decompose the many-to-many matching game into several parallel cluster-based many-to-one matching sub-games. Then, for each sub-problem, we develop a cluster based fairness guaranteed matching algorithm (CFGM), which is able to guarantee intra-cluster fairness. Simulation results show that CFGM outperforms its counterparts, which guaranteeing statistical fairness.	en_US
dc.relation.ispartof	International Symposium on Wireless Personal Multimedia Communications, WPMC	en_US
dc.relation.isbasedon	10.1109/WPMC.2014.7014884	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Broker based bipartite matching game for resource management in femtocell networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2015-January	en_US
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
pubs.volume	2015-January	en_US

Abstract:

© 2014 National Institute of Information and Communicatio. Femtocells have great potential to enhance home cellular access and improve macrocell network efficiency by offload local traffic. However, dense deployment imposes critical challenges to resource management (i.e., interference mitigation and sub-channels allocation).In this paper, to formulate this resource management of femtocell, we propose broker based many-to-many bipartite matching game and develop a new distributed solution to the game. The key idea of our solution is that we propose clustering strategy to decompose the many-to-many matching game into several parallel cluster-based many-to-one matching sub-games. Then, for each sub-problem, we develop a cluster based fairness guaranteed matching algorithm (CFGM), which is able to guarantee intra-cluster fairness. Simulation results show that CFGM outperforms its counterparts, which guaranteeing statistical fairness.

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http://hdl.handle.net/10453/121256