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Analysis of Heuristic Graph Partitioning Methods for the Assignment of Packet Control Units in GERAN

机译:GERMAN中分组控制单元分配的启发式图划分方法分析

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摘要

Over the last few years, graph partitioning has been recognized as a suitable technique for optimizing cellular network structure. For example, in a recent paper, the authors proposed a classical graph partitioning algorithm to optimize the assignment of cells to Packet Control Units (PCUs) in GSM-EDGE Radio Access Network. Based on this approach, the quality of packet data services in a live environment was increased by reducing the number of cell re-selections between different PCUs. To learn more about the potential of graph partitioning in cellular networks, in this paper, a more sophisticated, yet computationally efficient, partitioning algorithm is proposed for the same problem. The new method combines multi-level refinement and adaptive multi-start techniques with algorithms to ensure the connectivity between cells under the same PCU. Performance assessment is based on an extensive set of graphs constructed with data taken from a live network. During the tests, the new method is compared with classical graph partitioning approaches. Results show that the proposed method outperforms classical approaches in terms of solution quality at the expense of a slight increase in computing time, while providing solutions that are easier to check by the network operator.
机译:在过去的几年中,图分区已被公认为是优化蜂窝网络结构的合适技术。例如,在最近的一篇论文中,作者提出了一种经典的图划分算法,以优化GSM-EDGE无线电接入网络中的信元到分组控制单元(PCU)的分配。基于此方法,通过减少不同PCU之间的小区重选次数,提高了实时环境中分组数据服务的质量。为了更多地了解蜂窝网络中图形划分的潜力,本文针对同一问题提出了一种更复杂但计算效率更高的划分算法。新方法将多级优化和自适应多启动技术与算法相结合,以确保同一PCU下单元之间的连通性。性能评估基于一组广泛的图表,这些图表是使用来自实时网络的数据构建的。在测试过程中,将该新方法与经典图分区方法进行了比较。结果表明,所提出的方法在解决方案质量方面优于传统方法,但以稍微增加计算时间为代价,同时提供了易于由网络运营商检查的解决方案。

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