Femtocell coverage optimization using genetic algorithm

Lina Mohjazi; Mahmoud Al-Qutayri; Hassan Barada; Kin Poon

Femtocell coverage optimization using genetic algorithm

Lina Mohjazi, Mahmoud Al-Qutayri, Hassan Barada, Kin Poon

EBTIC

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

14 Scopus citations

Abstract

Deploying a number of femtocells to jointly provide coverage in an enterprise environment raises critical challenges especially in future self-organizing networks which rely on plug-and-play fashions. This paper presents a technique based on the genetic algorithm for a centralized self-optimizing network containing a group of femtocells. Depending on a multi-objective function for optimizing the coverage, the algorithm leads to a dynamic update of the pilot powers of the group of femtocells. The results show the ability of the algorithm to effectively optimize the coverage according to the global traffic distribution and the levels of interference between neighboring femtocells.

Original language	British English
Title of host publication	2011 Technical Symposium at ITU Telecom World, ITU WT 11
Pages	159-164
Number of pages	6
State	Published - 2011
Event	2011 Technical Symposium at ITU Telecom World, ITU WT 11 - Geneva, Switzerland Duration: 24 Oct 2011 → 27 Oct 2011

Publication series

Name	2011 Technical Symposium at ITU Telecom World, ITU WT 11

Conference

Conference	2011 Technical Symposium at ITU Telecom World, ITU WT 11
Country/Territory	Switzerland
City	Geneva
Period	24/10/11 → 27/10/11

Keywords

4G systems
Femtocells
Genetic algorithm
Optimization
Self-organizing networks

Cite this

@inproceedings{c770657b822f49cc9c39fa5f27e95844,

title = "Femtocell coverage optimization using genetic algorithm",

abstract = "Deploying a number of femtocells to jointly provide coverage in an enterprise environment raises critical challenges especially in future self-organizing networks which rely on plug-and-play fashions. This paper presents a technique based on the genetic algorithm for a centralized self-optimizing network containing a group of femtocells. Depending on a multi-objective function for optimizing the coverage, the algorithm leads to a dynamic update of the pilot powers of the group of femtocells. The results show the ability of the algorithm to effectively optimize the coverage according to the global traffic distribution and the levels of interference between neighboring femtocells.",

keywords = "4G systems, Femtocells, Genetic algorithm, Optimization, Self-organizing networks",

author = "Lina Mohjazi and Mahmoud Al-Qutayri and Hassan Barada and Kin Poon",

year = "2011",

language = "British English",

isbn = "9789261136710",

series = "2011 Technical Symposium at ITU Telecom World, ITU WT 11",

pages = "159--164",

booktitle = "2011 Technical Symposium at ITU Telecom World, ITU WT 11",

note = "2011 Technical Symposium at ITU Telecom World, ITU WT 11 ; Conference date: 24-10-2011 Through 27-10-2011",

}

TY - GEN

T1 - Femtocell coverage optimization using genetic algorithm

AU - Mohjazi, Lina

AU - Al-Qutayri, Mahmoud

AU - Barada, Hassan

AU - Poon, Kin

PY - 2011

Y1 - 2011

N2 - Deploying a number of femtocells to jointly provide coverage in an enterprise environment raises critical challenges especially in future self-organizing networks which rely on plug-and-play fashions. This paper presents a technique based on the genetic algorithm for a centralized self-optimizing network containing a group of femtocells. Depending on a multi-objective function for optimizing the coverage, the algorithm leads to a dynamic update of the pilot powers of the group of femtocells. The results show the ability of the algorithm to effectively optimize the coverage according to the global traffic distribution and the levels of interference between neighboring femtocells.

AB - Deploying a number of femtocells to jointly provide coverage in an enterprise environment raises critical challenges especially in future self-organizing networks which rely on plug-and-play fashions. This paper presents a technique based on the genetic algorithm for a centralized self-optimizing network containing a group of femtocells. Depending on a multi-objective function for optimizing the coverage, the algorithm leads to a dynamic update of the pilot powers of the group of femtocells. The results show the ability of the algorithm to effectively optimize the coverage according to the global traffic distribution and the levels of interference between neighboring femtocells.

KW - 4G systems

KW - Femtocells

KW - Genetic algorithm

KW - Optimization

KW - Self-organizing networks

UR - http://www.scopus.com/inward/record.url?scp=84855399148&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84855399148

SN - 9789261136710

T3 - 2011 Technical Symposium at ITU Telecom World, ITU WT 11

SP - 159

EP - 164

BT - 2011 Technical Symposium at ITU Telecom World, ITU WT 11

T2 - 2011 Technical Symposium at ITU Telecom World, ITU WT 11

Y2 - 24 October 2011 through 27 October 2011

ER -

Femtocell coverage optimization using genetic algorithm

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this