A Semi-analytical Method to Model Effective SINR Spatial Distribution in WiMAX Networks

Abstract :

The stationary probabilities of different modulation and coding schemes (MCS) are required for dimensioning an OFDMA based network. In this paper, we introduce a semi-analytical approach to find out these stationary probabilities for a WiMAX network in downlink (DL) with users served by the best base station (BS). Using Monte Carlo simulations, we find the spatial distributions of effective signal to interference-plus-noise ratio ($SINR_{eff}$) for different values of shadowing standard deviation ($\sigma_{SH}$). With the help of distribution fit, we show that generalized extreme value (GEV) distribution provides a good fit for different frequency reuse schemes. Furthermore, by applying curve fitting, we demonstrate that the parameters of GEV distributions, as a function of $\sigma_{SH}$ values, can be expressed using polynomials. These polynomial can then be used off-line (in place of time consuming simulations) to find out GEV cumulative distribution function (CDF), and hence the stationary probabilities of MCS, for any desired value of $\sigma_{SH}$. We further show that these polynomials can be used for other cell configurations with acceptable deviation and significant time saving.

Type de document :
Communication dans un congrès
IEEE Sarnoff Symposium, Mar 2009, Princeton, United States. 2009 IEEE Sarnoff Symposium, pp.1-5, 2009
Liste complète des métadonnées

Littérature citée [18 références]  Voir  Masquer  Télécharger

https://hal-imt.archives-ouvertes.fr/hal-01547163
Contributeur : Admin Télécom Paristech <>
Soumis le : lundi 26 juin 2017 - 14:33:19
Dernière modification le : dimanche 2 juillet 2017 - 01:06:42
Document(s) archivé(s) le : mercredi 17 janvier 2018 - 18:24:09

Fichier

inproceedings-2009-9038-4.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01547163, version 1

Citation

M. Maqbool, M. Coupechoux, P. Godlewski. A Semi-analytical Method to Model Effective SINR Spatial Distribution in WiMAX Networks. IEEE Sarnoff Symposium, Mar 2009, Princeton, United States. 2009 IEEE Sarnoff Symposium, pp.1-5, 2009. 〈hal-01547163〉

Partager

Métriques

Consultations de la notice

71

Téléchargements de fichiers

20