Automatic tuning of Okumura-Hata model on railway communications

Author

Beire, Ana Rita ; Cota, Nuno ; Pita, Helder ; Rodrigues, A.

Author_Institution

Servicos de Telecomun., REFER Telecom, Lisbon, Portugal

fYear

2014

fDate

7-10 Sept. 2014

Firstpage

562

Lastpage

567

Abstract

This paper presents the Genetic Algorithms (GA) as an efficient solution for the Okumura-Hata prediction model tuning on railways communications. A method for modelling the propagation model tuning parameters was presented. The algorithm tuning and validation were based on real networks measurements carried out on four different propagation scenarios and several performance indicators were used. It was shown that the proposed GA is able to produce significant improvements over the original model. The algorithm developed is currently been used on real GSM-R network planning process for an enhanced resources usage.

Keywords

cellular radio; genetic algorithms; railway communication; Okumura-Hata prediction model tuning; algorithm tuning; automatic tuning; genetic algorithms; performance indicators; propagation model tuning parameters; propagation scenarios; railway communications; real GSM-R network planning process; Computational modeling; Genetic algorithms; Optimization; Prediction algorithms; Predictive models; Rail transportation; Tuning; Genetic Algorithm; Okumura-Hata; Propagation Model; Railway Communications; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on

Conference_Location

Sydney, NSW

Type

conf

DOI

10.1109/WPMC.2014.7014881

Filename

7014881