Boosting Predictions by Calibration of Traffic Model and Learning of Indicators' Distributions

Autor: W. Tabbara, Benoit Fourestie, F. Brouaye, B. Sayrac, Z. Nouir

Publikováno v: IEEE Transactions on Vehicular Technology. 57:2489-2497

In this paper, we discuss a two-step scheme using measurements that are taken on a real network. The two steps are complementary and aim to enhance the precision and the quality of a radio network planning tool. We have, in a first step, calibrated t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4b4049b9685515b3ea1bcc4a8f5445ba
https://doi.org/10.1109/tvt.2007.912151

Spherical near field facility for characterizing random emissions

Autor: Benoit Fourestie, Zwi Altman, Joe Wiart, J.-C. Bolomey, T. Sarrebourse

Publikováno v: IEEE Transactions on Antennas and Propagation. 53:2582-2589

In a previous paper, a new time domain near field (TDNF) method for characterizing random emissions has been presented . This method, which extends classical antenna NF techniques to random emissions, is based on the measurement of the spatial cohere

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a25d02fdec8ccedbe7a8457783a72e4f
https://doi.org/10.1109/tap.2005.851847

Web-IMS Convergence Architecture and Prototype

Autor: Naoki Takaya, Ichiro Inoue, Michel Le Clec'h, Linda Chong Chauvot, Frederique Forestier Husson, Hiroki Baba, Akira Kurokawa, Nicolas Edel, Benoit Fourestie

Publikováno v: GLOBECOM

To offer Web-IMS convergent services, network operators are providing interfaces for Web servers such as Parlay X on top of IMS application servers. However, this type of architecture leads to the building of at least as many interfaces as there are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d49235c093581f1c7a86d3a6d3fc8cf
https://doi.org/10.1109/glocom.2010.5683974

Reliability Enhancement of 3G Radio Network Prediction by a Conditional Distribution Discrimination Tree

Autor: Z. Nouir, A. Petrowski, B. Sayrac, Benoit Fourestie

Publikováno v: VTC Spring
Proceedings VTC Spring 2008 : IEEE 67th Vehicular Technology Conference
VTC Spring 2008 : IEEE 67th Vehicular Technology Conference
VTC Spring 2008 : IEEE 67th Vehicular Technology Conference, May 2008, Marina Bay, Singapore. pp.1985-1989, ⟨10.1109/VETECS.2008.448⟩

International audience; This paper presents a constructive learning system that enhances the reliability and precision of radio network predictions. This task is achieved by finding a correspondence between the probability density distributions of si

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83c7c7c7211f34e26545eade3ef2928c
https://doi.org/10.1109/vetecs.2008.448

Generalization Capabilities Enhancement of a Learning System by Fuzzy Space Clustering

Autor: W. Tabbara, Z. Nouir, Benoit Fourestie, F. Brouaye, Berna Sayrac

Publikováno v: Journal of Communications. 2

We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize this challenged task. To ensure better generalization capabilities of the learning

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dbafaa6dcc0468959af9b3a69dfadf5f
https://doi.org/10.4304/jcm.2.6.30-37