Title :
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
fDate :
30 May-1 June 2005
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;
Conference_Titel :
Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
Print_ISBN :
0-7803-8887-9
DOI :
10.1109/VETECS.2005.1543313
