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公开(公告)号:US20220361009A1
公开(公告)日:2022-11-10
申请号:US17871074
申请日:2022-07-22
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: Matthew Osinski , Mark Brisbay , Zihui Ge , He Yan , Shuai Hao , Hector Perez , Gavin Anderson , Jason Tipton
IPC: H04W24/02
Abstract: 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:US20210160124A1
公开(公告)日:2021-05-27
申请号:US17163877
申请日:2021-02-01
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , Zihui Ge , Giritharan Rana , Heather Magrini , Jennifer Yates , Matthew Osinski , Brandon Hall , Edward Ball , Richard Miller , Kathryn W. Childs
IPC: H04L12/24
Abstract: A method includes receiving fault management data and service quality management data from an integrated feedback control loop, wherein a first set of faults in the fault management data is correlated with service quality management data if a root cause of the first set of faults is known and wherein a second set of faults in the fault management data are categorized as silent faults if no root cause of the second faults is known, The silent faults in the fault management are correlated with the service quality management data. The disclosure includes prioritizing analysis of the silent faults that affect the service quality management data, and prioritizing repair of faults in the fault management data that affect the service quality management data.
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公开(公告)号:US20210021458A1
公开(公告)日:2021-01-21
申请号:US17063697
申请日:2020-10-05
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , Anthony Caracciolo , Mira Desta , Zihui Ge , Brian Heard , Sarat Puthenpura
Abstract: 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:US10797937B2
公开(公告)日:2020-10-06
申请号:US16780399
申请日:2020-02-03
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , Anthony Caracciolo , Mira Desta , Zihui Ge , Brian Heard , Sarat Puthenpura
Abstract: 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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25.
公开(公告)号:US20200226522A1
公开(公告)日:2020-07-16
申请号:US16831003
申请日:2020-03-26
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , Lynn Lopez , Jason Pipkin , Kathryn Childs , Chichi Boderoux , Carla Sykes , Kevin Wilkins , Robert Samson , Sarat Puthenpura , Zihui Ge
IPC: G06Q10/06
Abstract: 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:US20200177437A1
公开(公告)日:2020-06-04
申请号:US16780399
申请日:2020-02-03
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , Anthony Caracciolo , Mira Desta , Zihui Ge , Brian Heard , Sarat Puthenpura
Abstract: 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:US10554478B2
公开(公告)日:2020-02-04
申请号:US15227451
申请日:2016-08-03
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , Anthony Caracciolo , Mira Desta , Zihui Ge , Brian Heard , Sarat Puthenpura
Abstract: 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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28.
公开(公告)号:US20180308031A1
公开(公告)日:2018-10-25
申请号:US15493604
申请日:2017-04-21
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P. , AT&T Mobility II LLC
Inventor: He Yan , LYNN LOPEZ , JASON PIPKIN , KATHRYN CHILDS , CHICHI BODEROUX , CARLA SYKES , KEVIN WILKINS , ROBERT SAMSON , SARAT PUTHENPURA , ZIHUI GE
IPC: G06Q10/06
CPC classification number: G06Q10/06375
Abstract: 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:US20160149783A1
公开(公告)日:2016-05-26
申请号:US15011029
申请日:2016-01-29
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Dan Pei , Ashley Flavel , Zihui Ge , Alexandre Gerber , Hiren Shah , He Yan
IPC: H04L12/26
CPC classification number: H04L43/0823 , H04L41/0618 , H04L41/0677 , H04L43/0864
Abstract: 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.
Abstract translation: 在本文中公开的将方法进行优先排列的方法包括:根据针对节点接收的测量,将通信网络中的相应节点分类为正常的,异常的或不确定的。 公开的示例方法还包括选择被分类为异常的节点的子集,从而导致表示通信网络中的异常源的异常节点,根本原因导致异常节点是在通信网络中识别的异常节点,并且确定具有 各组具有多个节点的直接后代节点分类为异常或不确定。 公开的示例方法还包括基于测量结合针对根本原因异常节点确定的各异常大小和异常范围,以确定根导致异常节点的相应排名,并输出各自的排名以优先考虑该组根本原因异常 节点。
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公开(公告)号:US20160014622A1
公开(公告)日:2016-01-14
申请号:US14865594
申请日:2015-09-25
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Ajay Mahimkar , Ioannis Broustis , Zihui Ge , Sarat Puthenpura , Leonid Razoumov , Aman M. Shaikh , Nemmara K. Shankaranarayanan , Jia Wang , Xing Xu , He Yan
CPC classification number: H04W24/02 , H04W16/08 , H04W16/22 , H04W24/04 , H04W52/265 , H04W72/046 , H04W72/0473
Abstract: To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
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