DocumentCode :
660146
Title :
Surrogate Based Centralized Automated Optimization Applied to LTE Mobility Load Balancing
Author :
Khan, Yasin ; Sayrac, Berna ; Moulines, Eric
Author_Institution :
Orange Labs., Issy-les-Moulineaux, France
fYear :
2013
fDate :
2-5 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Deployment of Long Term Evolution (LTE) amp; LTE- Advanced networks will be challenged by cost and complexity. Self Organizing Network (SON) functionalities promise significant improvement of the network in terms of reducing OPerational EXpenditure (OPEX) and performance improvement. In this paper, we propose a recursive automated optimization method which builds statistical models of the functional relationships between noisy Key Performance Indicators (KPIs) and network parameters; and performs stochastic optimization during the model building process. The proposed methodology is applied to a centralized intra-LTE Mobility Load Balancing (MLB) problem and its performance is evaluated through system level simulations. The results show that the proposed modeling and optimization approach is a promising solution for centralized intra-LTE MLB in terms of optimization performance and convergence under noisy data.
Keywords :
Long Term Evolution; mobility management (mobile radio); optimisation; resource allocation; KPI; LTE mobility; LTE- advanced networks; Long Term Evolution; MLB; OPEX; SON; centralized automated optimization; key performance indicators; load balancing; operational expenditure; optimization performance; self organizing network; Data models; Hidden Markov models; Load management; Load modeling; Long Term Evolution; Optimization; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
ISSN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2013.6692427
Filename :
6692427
Link To Document :
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