Manual and automatic design for UMTS networks
Mobile Networks and Applications
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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Automatic cell planning aims at optimising the performance of UMTS networks in terms of capacity, coverage and quality of service by automatically adjusting antenna parameters and common channel powers. This paper presents an overview on optimisation strategies that correspond to different scenarios depending on the operational context. Starting from capacity optimisation, we show how an Automatic Cell Planner (ACP) can be enhanced with specific functionalities such as joint coverage/capacity optimisation, automatic site selection or steered optimisation. Finally, we show how the improvement in quality of service brought about by an ACP can be accurately assessed with dynamic simulations using adequate key performance indicators (KPI).