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Proximity graph based clustering algorithms for optimized planning of UMTS access network topologies

机译:基于邻近图的聚类算法,用于UMTS接入网拓扑的优化规划

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After a short overview of UMTS radio access networks and their planning process, two new clustering approaches for partitioning the set of given Node B into a near optimum number of RNC-clusters are presented. Both algorithms start from a proximity graph, consider all relevant cost contributions, and provide flexibility by use of user-supplied cost functions for equipment and links. Their high speed allows the embedding into an interactive tool environment and leaves room for more time consuming local search procedures for further improvement of the solutions.
机译:在对UMTS无线电接入网络及其规划过程进行了简短概述之后,提出了两种新的群集方法,用于将给定节点B的集合划分为接近最佳数量的RNC群集。两种算法都从一个接近图开始,考虑所有相关的成本贡献,并通过使用用户提供的设备和链路成本函数来提供灵活性。它们的高速度允许嵌入到交互式工具环境中,并为更多耗时的本地搜索程序留出空间,以进一步改进解决方案。

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