Broker based bipartite matching game for resource management in femtocell networks

Shangjing Lin; Hui Tian; Wei Ni; Renping Liu

doi:10.1109/WPMC.2014.7014884

Broker based bipartite matching game for resource management in femtocell networks

Shangjing Lin, Hui Tian, Wei Ni, Renping Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2014 International Symposium on Wireless Personal Multimedia Communications
Subtitle of host publication	WPMC 2014
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	579-583
Number of pages	5
ISBN (Electronic)	9789860334074
ISBN (Print)	9781479964123
DOIs	https://doi.org/10.1109/WPMC.2014.7014884
Publication status	Published - 19 Jan 2015
Externally published	Yes
Event	2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014 - Sydney, Australia Duration: 7 Sept 2014 → 10 Sept 2014

Other

Other	2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014
Country/Territory	Australia
City	Sydney
Period	7/09/14 → 10/09/14

Keywords

clustering
Hierarchical two-tier network
resource allocation
two-sided stable matching

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10.1109/WPMC.2014.7014884

Cite this

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title = "Broker based bipartite matching game for resource management in femtocell networks",

abstract = "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.",

keywords = "clustering, Hierarchical two-tier network, resource allocation, two-sided stable matching",

author = "Shangjing Lin and Hui Tian and Wei Ni and Renping Liu",

year = "2015",

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doi = "10.1109/WPMC.2014.7014884",

language = "English",

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booktitle = "2014 International Symposium on Wireless Personal Multimedia Communications",

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note = "2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014 ; Conference date: 07-09-2014 Through 10-09-2014",

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Lin, S, Tian, H, Ni, W & Liu, R 2015, Broker based bipartite matching game for resource management in femtocell networks. in 2014 International Symposium on Wireless Personal Multimedia Communications: WPMC 2014., 7014884, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 579-583, 2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014, Sydney, Australia, 7/09/14. https://doi.org/10.1109/WPMC.2014.7014884

Broker based bipartite matching game for resource management in femtocell networks. / Lin, Shangjing; Tian, Hui; Ni, Wei et al.
2014 International Symposium on Wireless Personal Multimedia Communications: WPMC 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 579-583 7014884.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Broker based bipartite matching game for resource management in femtocell networks

AU - Lin, Shangjing

AU - Tian, Hui

AU - Ni, Wei

AU - Liu, Renping

PY - 2015/1/19

Y1 - 2015/1/19

N2 - 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.

AB - 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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KW - Hierarchical two-tier network

KW - resource allocation

KW - two-sided stable matching

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M3 - Conference proceeding contribution

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BT - 2014 International Symposium on Wireless Personal Multimedia Communications

PB - Institute of Electrical and Electronics Engineers (IEEE)

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T2 - 2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014

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ER -

Broker based bipartite matching game for resource management in femtocell networks

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