Intelligent coverage optimization with multi-objective genetic algorithm in cellular system

Author

Minghui Gao ; Lianfen Huang ; Xiaonan Cui ; Hongxiang Cai ; Zhibin Gao

Author_Institution

Dept. of Commun. Eng., Xi amen Univ., Xiamen, China

fYear

2013

fDate

26-28 April 2013

Firstpage

859

Lastpage

863

Abstract

A multi-objective genetic algorithm is proposed in this paper for intelligent coverage optimization according to users´ requirements in cellular mobile network. Based on the coverage balance between uplink and downlink, status of cell coverage is evaluated through the measurement data reported by mobile stations, and then an adjustment scheme is generated to optimize the downlink coverage by switching the cells on or off and tuning the transmitting power of base stations periodically. The simulation results show that network performances of downlink insufficient coverage and excessive coverage could be improved after the optimization using our algorithm.

Keywords

cellular radio; genetic algorithms; telecommunication switching; adjustment scheme; base stations; cell switching; cellular mobile network; cellular system; intelligent coverage optimization; measurement data; mobile stations; multiobjective genetic algorithm; transmitting power; Genetics; Optimization; Cellular System; Coverage Balance; Intelligent Coverage Optimization; Multi-Objective Genetic Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2013 8th International Conference on

Conference_Location

Colombo

Print_ISBN

978-1-4673-4464-7

Type

conf

DOI

10.1109/ICCSE.2013.6554030

Filename

6554030