Performance evaluation of heuristic techniques for coverage optimization in femtocells

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

doi:10.1109/ICECS.2011.6122343

Performance evaluation of heuristic techniques for coverage optimization in femtocells

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

EBTIC

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

4 Scopus citations

Abstract

Self-optimization of coverage is an essential element for successful deployment of enterprise femtocells. This paper evaluates the performance of genetic algorithm, particle swarm and simulated annealing heuristic techniques to solve a multi-objective coverage optimization problem when a number of femtocells are deployed to jointly provide indoor coverage. This paper demonstrates the different behaviors of the proposed algorithms. The results show that genetic algorithm and particle swarm have a higher potential of solving the problem compared to simulated annealing. This is due to their faster convergence time which is an important parameter for dynamic update of femtocells.

Original language	British English
Title of host publication	2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011
Pages	587-590
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2011.6122343
State	Published - 2011
Event	2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011 - Beirut, Lebanon Duration: 11 Dec 2011 → 14 Dec 2011

Publication series

Name	2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011

Conference

Conference	2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011
Country/Territory	Lebanon
City	Beirut
Period	11/12/11 → 14/12/11

Keywords

4G systems
Femtocells
Heuristics
Optimization
Self-organizing networks

Access to Document

10.1109/ICECS.2011.6122343

Cite this

Mohjazi, L., Al-Qutayri, M., Barada, H., & Poon, K. F. (2011). Performance evaluation of heuristic techniques for coverage optimization in femtocells. In 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011 (pp. 587-590). Article 6122343 (2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011). https://doi.org/10.1109/ICECS.2011.6122343

@inproceedings{f0dbd0422dd9433096ef343751a468e1,

title = "Performance evaluation of heuristic techniques for coverage optimization in femtocells",

abstract = "Self-optimization of coverage is an essential element for successful deployment of enterprise femtocells. This paper evaluates the performance of genetic algorithm, particle swarm and simulated annealing heuristic techniques to solve a multi-objective coverage optimization problem when a number of femtocells are deployed to jointly provide indoor coverage. This paper demonstrates the different behaviors of the proposed algorithms. The results show that genetic algorithm and particle swarm have a higher potential of solving the problem compared to simulated annealing. This is due to their faster convergence time which is an important parameter for dynamic update of femtocells.",

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

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

year = "2011",

doi = "10.1109/ICECS.2011.6122343",

language = "British English",

isbn = "9781457718458",

series = "2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011",

pages = "587--590",

booktitle = "2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011",

note = "2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011 ; Conference date: 11-12-2011 Through 14-12-2011",

}

Mohjazi, L, Al-Qutayri, M , Barada, H & Poon, KF 2011, Performance evaluation of heuristic techniques for coverage optimization in femtocells. in 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011., 6122343, 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011, pp. 587-590, 2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011, Beirut, Lebanon, 11/12/11. https://doi.org/10.1109/ICECS.2011.6122343

Performance evaluation of heuristic techniques for coverage optimization in femtocells. / Mohjazi, Lina; Al-Qutayri, Mahmoud ; Barada, Hassan et al.
2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011. 2011. p. 587-590 6122343 (2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011).

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

TY - GEN

T1 - Performance evaluation of heuristic techniques for coverage optimization in femtocells

AU - Mohjazi, Lina

AU - Al-Qutayri, Mahmoud

AU - Barada, Hassan

AU - Poon, Kin Fai

PY - 2011

Y1 - 2011

N2 - Self-optimization of coverage is an essential element for successful deployment of enterprise femtocells. This paper evaluates the performance of genetic algorithm, particle swarm and simulated annealing heuristic techniques to solve a multi-objective coverage optimization problem when a number of femtocells are deployed to jointly provide indoor coverage. This paper demonstrates the different behaviors of the proposed algorithms. The results show that genetic algorithm and particle swarm have a higher potential of solving the problem compared to simulated annealing. This is due to their faster convergence time which is an important parameter for dynamic update of femtocells.

AB - Self-optimization of coverage is an essential element for successful deployment of enterprise femtocells. This paper evaluates the performance of genetic algorithm, particle swarm and simulated annealing heuristic techniques to solve a multi-objective coverage optimization problem when a number of femtocells are deployed to jointly provide indoor coverage. This paper demonstrates the different behaviors of the proposed algorithms. The results show that genetic algorithm and particle swarm have a higher potential of solving the problem compared to simulated annealing. This is due to their faster convergence time which is an important parameter for dynamic update of femtocells.

KW - 4G systems

KW - Femtocells

KW - Heuristics

KW - Optimization

KW - Self-organizing networks

UR - http://www.scopus.com/inward/record.url?scp=84856505290&partnerID=8YFLogxK

U2 - 10.1109/ICECS.2011.6122343

DO - 10.1109/ICECS.2011.6122343

M3 - Conference contribution

AN - SCOPUS:84856505290

SN - 9781457718458

T3 - 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011

SP - 587

EP - 590

BT - 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011

T2 - 2011 18th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2011

Y2 - 11 December 2011 through 14 December 2011

ER -

Mohjazi L, Al-Qutayri M , Barada H , Poon KF. Performance evaluation of heuristic techniques for coverage optimization in femtocells. In 2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011. 2011. p. 587-590. 6122343. (2011 18th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2011). doi: 10.1109/ICECS.2011.6122343

Performance evaluation of heuristic techniques for coverage optimization in femtocells

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this