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公开(公告)号：US10609578B1
公开(公告)日：2020-03-31
申请号：US16414242
申请日：2019-05-16
发明人： Supratim Deb , He Yan , Karunasish Biswas , Joseph Allen Notter
摘要： A method, system and computer-readable medium where a weighted composite quality index having a plurality of components for a network element is identified. A historical baseline value from historical data for each component is determined, and a deviation from the historical baseline values is measured. A risk level for the deviation is assigned. A loss score for the measured components is computed by mapping the risk level to a numerical score. An aggregated risk score based on a sum of weighted risk scores for each of the components is computed. An expected risk score based on probabilities associated with the aggregated risk score is determined by computing future probabilities of each risk level at the network element based on a trained machine learning model.
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公开(公告)号：US10075356B2
公开(公告)日：2018-09-11
申请号：US15011029
申请日：2016-01-29
发明人： Dan Pei , Ashley Flavel , Zihui Ge , Alexandre Gerber , Hiren Shah , He Yan
CPC分类号： H04L43/0823 , H04L41/0618 , H04L41/0677 , H04L43/0864
摘要： Example methods disclosed herein to prioritize anomalies in a communication network include classifying respective nodes in the communication network as normal, abnormal or indeterminate based on measurements received for the nodes. Disclosed example methods also include selecting a subset of the nodes classified as abnormal to be root cause abnormal nodes representing sources of the anomalies in the communication network, respective ones of the root cause abnormal nodes being abnormal nodes identified in the communication network and determined to have respective sets of direct descendent nodes having majorities of nodes classified as abnormal or indeterminate. Disclosed example methods further include combining respective anomaly sizes and anomaly scopes determined for the respective ones of root cause abnormal nodes based on the measurements to determine respective rankings for the root cause abnormal nodes, and outputting the respective rankings to prioritize the set of root cause abnormal nodes.
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3.发明授权Method and apparatus for quantifying the customer impact of cell tower outages 有权量化客户对电池塔停电影响的方法和设备公开(公告)号：US09426665B2
公开(公告)日：2016-08-23
申请号：US14088279
申请日：2013-11-22
发明人： Zihui Ge , Mario Kosseifi , Matthew Osinski , He Yan , Jennifer Yates
摘要： A method, computer-readable storage device and apparatus for quantifying a total number of customers impacted by a cellular tower outage are disclosed. For example, the method monitors a plurality of cellular towers, detects a failure of one of the plurality of cellular towers, identifies a subset of the plurality of cellular towers that are included in an affected region, calculates a number of additional customers served by each one of the subset of the plurality of cellular towers that are included in the affected region due to the failure of the one cellular tower, and quantifies the total number of customers impacted by the failure of the one cellular tower by adding the number of additional customers served by the each one of the subset of the plurality of cellular towers that are included in the affected region.
摘要翻译： 公开了一种用于量化由蜂窝式塔架停机影响的客户总数的方法，计算机可读存储装置和装置。 例如，该方法监视多个蜂窝塔，检测多个蜂窝塔中的一个蜂窝塔的故障，识别包括在受影响区域中的多个蜂窝塔的子集，计算由每个蜂窝塔服务的多个另外的客户的数量 由于一个蜂窝塔的故障而被包括在受影响区域中的多个蜂窝塔的子集之一，并且通过添加一个蜂窝塔的数量来量化由一个蜂窝塔的故障所影响的总客户数 由受影响区域中包括的多个蜂窝塔的子集中的每一个服务。
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公开(公告)号：US20240292239A1
公开(公告)日：2024-08-29
申请号：US18651989
申请日：2024-05-01
发明人： Matthew Osinski , Mark Brisbay , Zihui Ge , He Yan , Shuai Hao , Hector Perez , Gavin Anderson , Jason Tipton
IPC分类号： H04W24/02
CPC分类号： H04W24/02
摘要： Aspects of the subject disclosure may include, for example, detecting an interruption of a supply of operating power to a cell site of a cellular communication network, estimating an estimated time to restoration (ETR) of the supply of operating power to the cell site, wherein the estimating is based on information of an operator of the cellular communication network, determining, based in part on the ETR, to dispatch a portable generator to the cell site to provide a new supply of operating power to the cell site, and initiating a communication to dispatch the portable generator. Other embodiments are disclosed.
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公开(公告)号：US11469939B2
公开(公告)日：2022-10-11
申请号：US17063697
申请日：2020-10-05
发明人： He Yan , Anthony Caracciolo , Mira Desta , Zihui Ge , Brian Heard , Sarat Puthenpura
IPC分类号： H04W24/00 , H04L41/0631 , H04L41/5074 , H04W24/04 , H04L43/091 , H04W24/02
摘要： A method and apparatus for providing trouble isolation are disclosed. For example, the method monitors a plurality of sessions for a user group for detecting an abnormal cause code associated with the user group, determines a root cause for the abnormal cause code when a deviation is determined to have occurred for the cause code of the user group, wherein the root cause identifies either an issue associated with the communications network or an issue associated with user endpoint devices of the user group, and generates a ticket indicating the root cause.
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公开(公告)号：US11188863B2
公开(公告)日：2021-11-30
申请号：US16831003
申请日：2020-03-26
发明人： He Yan , Lynn Lopez , Jason Pipkin , Kathryn Childs , Chichi Boderoux , Carla Sykes , Kevin Wilkins , Robert Samson , Sarat Puthenpura , Zihui Ge
IPC分类号： G06Q10/06
摘要： Aspects of the subject disclosure may include, for example, embodiments include receiving a first trouble ticket reporting a first service outage of a communication network and a second trouble ticket reporting a second service outage of the communication network. Further embodiments can include determining a first customer impact according to the first service outage and determining a second customer impact according to the second service outage. The first customer impact is determined by a degradation of quality metrics, a site priority, and a number of complaints due to each service outage. Additional embodiments can include identifying that the second customer impact is higher than the first customer impact. Also, embodiments can include prioritizing a resolution of the second trouble ticket over the first trouble ticket according to the second customer impact being higher than the first customer impact. Other embodiments are disclosed.
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公开(公告)号：US20180041378A1
公开(公告)日：2018-02-08
申请号：US15227451
申请日：2016-08-03
发明人： He Yan , Anthony Caracciolo , Mira Desta , Zihui Ge , Brian Heard , Sarat Puthenpura
CPC分类号： H04L41/0631 , H04L41/5035 , H04L41/5074 , H04W24/02 , H04W24/04
摘要： A method and apparatus for providing trouble isolation are disclosed. For example, the method monitors a plurality of sessions for a user group for detecting an abnormal cause code associated with the user group, determines a root cause for the abnormal cause code when a deviation is determined to have occurred for the cause code of the user group, wherein the root cause identifies either an issue associated with the communications network or an issue associated with user endpoint devices of the user group, and generates a ticket indicating the root cause.
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8.发明授权Methods, apparatus and articles of manufacture to perform root cause analysis for network events 有权方法，装置和制品对网络事件进行根本原因分析公开(公告)号：US08761029B2
公开(公告)日：2014-06-24
申请号：US13787374
申请日：2013-03-06
发明人： Zihui Ge , Dan Pei , Jennifer Yates , He Yan
IPC分类号： H04L12/26
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/0748 , H04L41/0213 , H04L41/0631
摘要： Example methods, apparatus and articles of manufacture to perform root cause analysis for network events are disclosed. An example method includes retrieving a symptom event instance from a normalized set of data sources based on a symptom event definition; generating a set of diagnostic events from the normalized set of data sources which potentially cause the symptom event instance, the diagnostic events being determined based on dependency rules; and analyzing the set of diagnostic events to select a root cause event based on root cause rules.
摘要翻译： 公开了对网络事件执行根本原因分析的示例性方法，装置和制造。 示例性方法包括：基于症状事件定义从归一化数据源集合检索症状事件实例; 从可能导致症状事件实例的归一化数据源集合生成一组诊断事件，诊断事件基于依赖规则确定; 并分析一组诊断事件以根据根本原因选择根本原因事件。
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公开(公告)号：US20240031850A1
公开(公告)日：2024-01-25
申请号：US17870393
申请日：2022-07-21
发明人： He Yan , Ioannis Broustis , Slawomir Stawiarski , Xuan Liu , Jennifer Yates , Zihui Ge , Sarat Puthenpura , Giritharan Rana
CPC分类号： H04W24/10 , H04W24/08 , H04W36/0083 , H04W52/0206
摘要： A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.
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10.发明授权公开(公告)号：US11337087B2
公开(公告)日：2022-05-17
申请号：US16803688
申请日：2020-02-27
发明人： Supratim Deb , He Yan , Karunasish Biswas , Joseph Allen Notter
摘要： A method, system and computer-readable medium where a weighted composite quality index having a plurality of components for a network element is identified. A historical baseline value from historical data for each component is determined, and a deviation from the historical baseline values is measured. A risk level for the deviation is assigned. A loss score for the measured components is computed by mapping the risk level to a numerical score. An aggregated risk score based on a sum of weighted risk scores for each of the components is computed. An expected risk score based on probabilities associated with the aggregated risk score is determined by computing future probabilities of each risk level at the network element based on a trained machine learning model.
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