Efficient Self-optimization of Neighbour Cell Lists in Macrocellular Networks

van Minh Nguyen 1, 2, * Holger Claussen 3
* Corresponding author
2 TREC - Theory of networks and communications
DI-ENS - Département d'informatique de l'École normale supérieure, Inria Paris-Rocquencourt
Abstract : The neighbour cell list (NCL) in cellular networks has an important impact on the number of dropped calls and is traditionally optimized manually with the help of planning tools. In this paper, a method for automatically optimizing a NCL is presented, which consists of an initialization using a self-configuration phase, followed by a self-optimization phase that further refines the NCL based on measurements provided by mobile stations during the network operation. The performance of the proposed methods is evaluated for different user speeds and different NCL sizes. Besides, the convergence speed of the proposed self-optimization method is evaluated. It is shown that when about 6000 measurements are reported by mobile stations, the proposed self-optimization method attains a stable maximum performance about 99\% of success rate.
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van Minh Nguyen, Holger Claussen. Efficient Self-optimization of Neighbour Cell Lists in Macrocellular Networks. PIMRC 2010 - IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, Sep 2010, Istambul, Turkey. pp.1923 - 1928, ⟨10.1109/PIMRC.2010.5671609⟩. ⟨hal-00629694⟩

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