A particle swarm optimization algorithm for resource allocation in femtocell networks

Zhuo Li; Song Guo; Wenzhong Li; Sanglu Lu; Daoxu Chen; Victor C.M. Leung

doi:10.1109/WCNC.2012.6213962

A particle swarm optimization algorithm for resource allocation in femtocell networks

Zhuo Li
, Song Guo
, Wenzhong Li
, Sanglu Lu
, Daoxu Chen
, Victor C.M. Leung

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

20 Citations (Scopus)

Abstract

Femtocell network is an efficient configuration to improve coverage and quality of service (QoS) in cellular networks. However, due to dense deployment, users in a femtocell may be interfered by the base stations nearby, resulting in a deteriorated throughput of the femtocell. In this paper, we investigate the resource allocation problem targeting at max-min throughput of the femtocells. Under the assumption that a number of discrete power levels are available for each device, a joint optimization problem over power control and channel allocation is formulated. We show its hardness and propose a particle swarm optimization based algorithm PCASO. We demonstrate the efficiency of PCASO by thorough numerical experiments.

Original language	English
Title of host publication	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Pages	1212-1217
Number of pages	6
DOIs	https://doi.org/10.1109/WCNC.2012.6213962
Publication status	Published - 1 Aug 2012
Externally published	Yes
Event	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France Duration: 1 Apr 2012 → 4 Apr 2012

Conference

Conference	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Country/Territory	France
City	Paris
Period	1/04/12 → 4/04/12

ASJC Scopus subject areas

General Engineering

More information

10.1109/WCNC.2012.6213962

Cite this

@inproceedings{0da880a98c284e5d83ff68b0c5e7cbbf,

title = "A particle swarm optimization algorithm for resource allocation in femtocell networks",

abstract = "Femtocell network is an efficient configuration to improve coverage and quality of service (QoS) in cellular networks. However, due to dense deployment, users in a femtocell may be interfered by the base stations nearby, resulting in a deteriorated throughput of the femtocell. In this paper, we investigate the resource allocation problem targeting at max-min throughput of the femtocells. Under the assumption that a number of discrete power levels are available for each device, a joint optimization problem over power control and channel allocation is formulated. We show its hardness and propose a particle swarm optimization based algorithm PCASO. We demonstrate the efficiency of PCASO by thorough numerical experiments.",

author = "Zhuo Li and Song Guo and Wenzhong Li and Sanglu Lu and Daoxu Chen and Leung, \{Victor C.M.\}",

year = "2012",

month = aug,

day = "1",

doi = "10.1109/WCNC.2012.6213962",

language = "English",

isbn = "9781467304375",

pages = "1212--1217",

booktitle = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012",

note = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 ; Conference date: 01-04-2012 Through 04-04-2012",

}

Li, Z, Guo, S, Li, W, Lu, S, Chen, D & Leung, VCM 2012, A particle swarm optimization algorithm for resource allocation in femtocell networks. in 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012., 6213962, pp. 1212-1217, 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012, Paris, France, 1/04/12. https://doi.org/10.1109/WCNC.2012.6213962

A particle swarm optimization algorithm for resource allocation in femtocell networks. / Li, Zhuo; Guo, Song; Li, Wenzhong et al.
2012 IEEE Wireless Communications and Networking Conference, WCNC 2012. 2012. p. 1212-1217 6213962.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - A particle swarm optimization algorithm for resource allocation in femtocell networks

AU - Li, Zhuo

AU - Guo, Song

AU - Li, Wenzhong

AU - Lu, Sanglu

AU - Chen, Daoxu

AU - Leung, Victor C.M.

PY - 2012/8/1

Y1 - 2012/8/1

N2 - Femtocell network is an efficient configuration to improve coverage and quality of service (QoS) in cellular networks. However, due to dense deployment, users in a femtocell may be interfered by the base stations nearby, resulting in a deteriorated throughput of the femtocell. In this paper, we investigate the resource allocation problem targeting at max-min throughput of the femtocells. Under the assumption that a number of discrete power levels are available for each device, a joint optimization problem over power control and channel allocation is formulated. We show its hardness and propose a particle swarm optimization based algorithm PCASO. We demonstrate the efficiency of PCASO by thorough numerical experiments.

AB - Femtocell network is an efficient configuration to improve coverage and quality of service (QoS) in cellular networks. However, due to dense deployment, users in a femtocell may be interfered by the base stations nearby, resulting in a deteriorated throughput of the femtocell. In this paper, we investigate the resource allocation problem targeting at max-min throughput of the femtocells. Under the assumption that a number of discrete power levels are available for each device, a joint optimization problem over power control and channel allocation is formulated. We show its hardness and propose a particle swarm optimization based algorithm PCASO. We demonstrate the efficiency of PCASO by thorough numerical experiments.

UR - https://www.scopus.com/pages/publications/84864350186

U2 - 10.1109/WCNC.2012.6213962

DO - 10.1109/WCNC.2012.6213962

M3 - Conference article published in proceeding or book

SN - 9781467304375

SP - 1212

EP - 1217

BT - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

T2 - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

Y2 - 1 April 2012 through 4 April 2012

ER -

A particle swarm optimization algorithm for resource allocation in femtocell networks

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this