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Automated RRM Optimization of LTE networks using Statistical Learning


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

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.

Product Specifications
SKU :COC56411
AuthorMoazzam Tiwana
Number of Pages152
Publishing Year2012-06-20T00:00:00.000
Edition1 st
Book TypeElectronics & communications engineering
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-06-08 00:00:00
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