Anomaly correlation mechanism for analysis of handovers in a communication network

    公开(公告)号:US09918258B2

    公开(公告)日:2018-03-13

    申请号:US14090168

    申请日:2013-11-26

    CPC classification number: H04W36/0083 H04W24/02

    Abstract: Optimizing neighbor cell relationships for improving handover performance by interpreting handover failures is presented herein. A method can include receiving data representing a time series of failures of outgoing handovers corresponding to a wireless access point device, and determining, based on a determined condition corresponding to a metric, that a source cell of the wireless access point device is associated with an anomalous cell relation corresponding to the time series of the failures of the outgoing handovers in response to quantifying the time series based on the metric. In various examples, the quantifying can include quantifying the time series with respect to: a volume of the failures during a period of time, an entropy calculated on a probability distribution of the failures by determined relations between the source cell and target cells, and/or an entropy calculated on a probability distribution of determined outgoing handover outcomes.

    ANOMALY CORRELATION MECHANISM FOR ANALYSIS OF HANDOVERS IN A COMMUNICATION NETWORK
    2.
    发明申请
    ANOMALY CORRELATION MECHANISM FOR ANALYSIS OF HANDOVERS IN A COMMUNICATION NETWORK 有权
    用于通信网络中手工分析的异常相关机制

    公开(公告)号:US20150148040A1

    公开(公告)日:2015-05-28

    申请号:US14090168

    申请日:2013-11-26

    CPC classification number: H04W36/0083 H04W24/02

    Abstract: Optimizing neighbor cell relationships for improving handover performance by interpreting handover failures is presented herein. A method can include receiving data representing a time series of failures of outgoing handovers corresponding to a wireless access point device, and determining, based on a determined condition corresponding to a metric, that a source cell of the wireless access point device is associated with an anomalous cell relation corresponding to the time series of the failures of the outgoing handovers in response to quantifying the time series based on the metric. In various examples, the quantifying can include quantifying the time series with respect to: a volume of the failures during a period of time, an entropy calculated on a probability distribution of the failures by determined relations between the source cell and target cells, and/or an entropy calculated on a probability distribution of determined outgoing handover outcomes.

    Abstract translation: 本文介绍了通过解释切换失败来优化相邻小区关系以提高切换性能。 一种方法可以包括接收表示与无线接入点设备相对应的出站切换的时间序列的数据的数据,以及基于与度量对应的确定条件,确定无线接入点设备的源小区与 响应于基于度量量化时间序列,对应于输出切换的故障的时间序列的异常小区关系。 在各种示例中,量化可以包括量化相对于以下时间序列的时间序列:在一段时间内的故障量,通过源单元和目标单元之间的确定的关系对故障的概率分布计算的熵和/ 或根据确定的输出切换结果的概率分布计算的熵。

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