Self-optimization of Neighbour Cell List in Macrocellular Networks
01 January 2010
The configuration of a 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 neighbour cell list is presented, which consists of an initialization using an auto-configuration phase, followed by a switch to a self-optimization phase that further refines the NCL based on collected user measurements. Different methods for both initialization and self-optimization are presented and their performance is evaluated for different user's speeds and different sizes of the NCL. In addition, the convergence speed of the self-optimization methods is evaluated and it is shown that from a point where about 3000 measurements points reported from mobile stations are available, the self-optimization methods outperform the investigated auto-configuration methods.
