DocumentCode :
628943
Title :
Self-optimization of handover parameters in LTE networks
Author :
Capdevielle, Veronique ; Feki, Afef ; Fakhreddine, Aymen
Author_Institution :
Alcatel-Lucent Bell-Labs., Nozay, France
fYear :
2013
fDate :
13-17 May 2013
Firstpage :
133
Lastpage :
139
Abstract :
Automatic configuration and optimization of networks is a key concept in Long Term Evolution (LTE) systems. Handover (HO) performances are differentiator indicators among mobile networks. In this context, we propose a self-organized solution for the LTE handover parameters set up, based on mobility performance indicators that are accurately specified by the standard. The proposed solution consists in a two-stages procedure: a direct set-up of the HO parameters relying on Page Hinkley HO-based decision followed by a closed, iterative loop to further optimize the initial configuration according to the current radio conditions and using Simulated Annealing approach. The performances are evaluated using an LTE system simulator and considering different user speed profiles. These results prove the efficiency of the proposed solution to minimize HO late detections while maintaining false alarm probability to a minimal level. We also observe a significant gain compared to static, sub-optimal manual settings.
Keywords :
Long Term Evolution; iterative methods; simulated annealing; HO late detections; Hinkley HO-based decision; LTE handover parameters; LTE system; automatic configuration; false alarm probability; handover parameters; handover performances; iterative loop; mobile networks; mobility performance indicators; networks optimization; self-optimization; simulated annealing approach; suboptimal manual settings; Handover; Manganese; Mobile communication; Mobile computing; Optimization; Wireless networks; Handover; LTE; Mobility Robustness Optimization; self optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), 2013 11th International Symposium on
Conference_Location :
Tsukuba Science City
Print_ISBN :
978-1-61284-824-2
Type :
conf
Filename :
6576426
Link To Document :
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