On the enhancement of Monte Carlo 3G network modelling tools for QoS prediction

Author

Fourestié, Benoît ; Renou, Sylvain

Author_Institution

RESA/NET, France Telecom R&D, Issy-les-Moulineaux, France

Volume

1

fYear

2005

fDate

30 May-1 June 2005

Firstpage

368

Abstract

The paper aims to reduce the computational times of Monte Carlo 3G radio network planning tools using variance reduction methods. We introduce two different methods of variance reduction: importance sampling (IS) and optimally stratified survey (OSS). Results using each method are presented and we show that computational times can be reduced for a given precision. Recommendations for using each method are given. These results are of utmost importance to facilitate operator´s 3G network optimization and design tasks.

Keywords

3G mobile communication; Monte Carlo methods; importance sampling; optimisation; quality of service; telecommunication network planning; 3G network optimization; 3G radio network planning tools; Monte Carlo 3G network modelling tools; QoS prediction; computational time reduction; importance sampling; optimally stratified survey; variance reduction methods; 3G mobile communication; Computer networks; Monte Carlo methods; Predictive models; Quality of service; Random variables; Research and development; Sampling methods; Scheduling algorithm; Telecommunications; Monte-Carlo; QoS; UMTS; planning tool; variance reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st

ISSN

1550-2252

Print_ISBN

0-7803-8887-9

Type

conf

DOI

10.1109/VETECS.2005.1543313

Filename

1543313