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Automated RRM Optimization of LTE networks using Statistical Learning: A novel practical approach for next generation Self Organizing Networks (SON) - Couverture souple

Tiwana, Moazzam

 
9783659146640: Automated RRM Optimization of LTE networks using Statistical Learning: A novel practical approach for next generation Self Organizing Networks (SON)
Couverture souple
ISBN 10 : 3659146641 ISBN 13 : 9783659146640
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The mobile telecommunication industry has experienced a very rapid growth in the recent past. This has resulted in significant technological and architectural evolution in the wireless networks. The expansion and the heterogeneity of these networks has significantly increased their operational cost. Typical faults in these networks may be related to equipment breakdown and inappropriate planning and configuration. In this context, automated troubleshooting and self optimization have been introduced as part of Self Organizing Networks (SON) standard of LTE. SON aims at reducing the operational cost and providing high-quality services for the end-users. This can reduce service breakdown time for the clients, resulting in the decrease in client switchover to competing network operators. This book explores the use of statistical learning for the automated healing and optimization process. In this context, the effectiveness of statistical learning for automated Radio Resource Management (RRM) has been investigated. The automated healing optimization methodology has been applied to 3G Long Term Evolution (LTE) use cases for healing the mobility and interference mitigation parameters.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The mobile telecommunication industry has experienced a very rapid growth in the recent past. This has resulted in significant technological and architectural evolution in the wireless networks. The expansion and the heterogeneity of these networks has significantly increased their operational cost. Typical faults in these networks may be related to equipment breakdown and inappropriate planning and configuration. In this context, automated troubleshooting and self optimization have been introduced as part of Self Organizing Networks (SON) standard of LTE. SON aims at reducing the operational cost and providing high-quality services for the end-users. This can reduce service breakdown time for the clients, resulting in the decrease in client switchover to competing network operators. This book explores the use of statistical learning for the automated healing and optimization process. In this context, the effectiveness of statistical learning for automated Radio Resource Management (RRM) has been investigated. The automated healing optimization methodology has been applied to 3G Long Term Evolution (LTE) use cases for healing the mobility and interference mitigation parameters.

Biographie de l'auteur

Moazzam Islam Tiwana received his M.E. degree in Digital Telecommunication Systems from ENST, Paris, France, in 2007 and a Ph.D. degree in Mobile Communications from Telecom SudParis, Paris, France, in 2010. His PHD work was in the R&D department of Orange Labs. He has more than seven years of industrial and academic experience.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659146641
ISBN 13 
9783659146640
Reliure
Broché
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
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