Automated cell planning based on propagation loss

Author

Wang, Xiaoying ; Long, Tao ; Lee, Yee Hui

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

1

fYear

2003

fDate

15-18 Dec. 2003

Firstpage

134

Abstract

Much work has been done on the use of heuristic techniques for the optimisation and planning mobile networks [J. Perez and M.F. Catedra]-[Xuemin Huang, 2001]. Monte Carlo, genetic algorithm (GA) [D.E. Goldberg, 1989] and simulated annealing (SA) has all been used for the purpose of cell planning. These methods have been used with moderate success. In this paper, an evolutionary learning technique is used for the optimisation and planning of cell. This technique is able to perform a heuristic search with intelligence; knowledge gained from information gathered from previously searched problem space.

Keywords

Monte Carlo methods; cellular radio; genetic algorithms; learning (artificial intelligence); simulated annealing; telecommunication computing; telecommunication network planning; Monte Carlo; automated cell planning; genetic algorithm; heuristic techniques; learning technique; mobile network planning; optimisation; propagation loss; simulated annealing; Antennas and propagation; Broadband antennas; Cities and towns; Costs; Earth; Mobile antennas; Propagation losses; Receiving antennas; Transmitters; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on

Print_ISBN

0-7803-8185-8

Type

conf

DOI

10.1109/ICICS.2003.1292428

Filename

1292428