Evolutionary radio resource management in distributed femtocell networks

Shangjing Lin; Wei Ni; Hui Tian; Ren Ping Liu

doi:10.1109/ICT.2015.7124677

Evolutionary radio resource management in distributed femtocell networks

Shangjing Lin, Wei Ni, Hui Tian, Ren Ping Liu

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

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	ICT 2015
Subtitle of host publication	22nd International Conference on Telecommunications : proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	168-173
Number of pages	6
ISBN (Electronic)	9781479980789
ISBN (Print)	9781479980796
DOIs	https://doi.org/10.1109/ICT.2015.7124677
Publication status	Published - 16 Jun 2015
Externally published	Yes
Event	2015 22nd International Conference on Telecommunications, ICT 2015 - Sydney, Australia Duration: 27 Apr 2015 → 29 Apr 2015

Other

Other	2015 22nd International Conference on Telecommunications, ICT 2015
Country/Territory	Australia
City	Sydney
Period	27/04/15 → 29/04/15

Keywords

Femtocell
game theory
radio resource management (RRM)

Access to Document

10.1109/ICT.2015.7124677

Cite this

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title = "Evolutionary radio resource management in distributed femtocell networks",

abstract = "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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Lin, S, Ni, W, Tian, H & Liu, RP 2015, Evolutionary radio resource management in distributed femtocell networks. in ICT 2015: 22nd International Conference on Telecommunications : proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 168-173, 2015 22nd International Conference on Telecommunications, ICT 2015, Sydney, Australia, 27/04/15. https://doi.org/10.1109/ICT.2015.7124677

Evolutionary radio resource management in distributed femtocell networks. / Lin, Shangjing; Ni, Wei; Tian, Hui et al.

ICT 2015: 22nd International Conference on Telecommunications : proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 168-173.

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

TY - GEN

T1 - Evolutionary radio resource management in distributed femtocell networks

AU - Lin, Shangjing

AU - Ni, Wei

AU - Tian, Hui

AU - Liu, Ren Ping

PY - 2015/6/16

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N2 - 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.

AB - 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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BT - ICT 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

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T2 - 2015 22nd International Conference on Telecommunications, ICT 2015

Y2 - 27 April 2015 through 29 April 2015

ER -

Evolutionary radio resource management in distributed femtocell networks

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