公开(公告)号：US11564113B2

公开(公告)日：2023-01-24

申请号：US17130688

申请日：2020-12-22

Applicant: Cisco Technology, Inc.

Inventor： Santosh Ghanshyam Pandey ,  Jean-Philippe Vasseur ,  Vinay Kumar Kolar

IPC: H04W24/04 ,  H04W36/08 ,  G06N3/08 ,  H04L41/16 ,  H04L41/142 ,  H04W24/02 ,  H04L41/14 ,  H04W36/16 ,  H04W36/38 ,  H04L41/147 ,  H04W24/08

Abstract: In one embodiment, a network assurance service that monitors a wireless network identifies a set of wireless network anomalies detected in the wireless network that are associated with a set of one or more network measurements. The network assurance service classifies the set of wireless anomalies as radio-related or backend-related. The network assurance service, when the set of wireless anomalies are classified as radio-related, determines that the wireless anomalies are recurring for a particular wireless access point in the network. The network assurance service initiates a change to the wireless network in part to move clients in the wireless network from the particular wireless access point to another wireless access point in the network.

公开(公告)号：US11363558B2

公开(公告)日：2022-06-14

申请号：US16655030

申请日：2019-10-16

Applicant: Cisco Technology, Inc.

Inventor： Matthew Aaron Silverman ,  Xu Zhang ,  Santosh Ghanshyam Pandey ,  Jerome Henry ,  Paul J. Stager

IPC: H04W64/00 ,  H04W16/28 ,  G01S13/76

Abstract: Access Point (AP) placement using Fine Time Measurement (FTM) may be provided. First, a plurality of Time-of-Flight (ToF) values between a first service end point and a second service end point may be determined. Each one of the plurality of ToF values may be derived from packets transmitted via different beamforming vector patterns at the first service end point and the second service end point. Then a minimum ToF value of the plurality of ToF values may be determined. Next, a distance between the first service end point and the second service end point may be determined based on the minimum ToF value.

公开(公告)号：US20210176115A1

公开(公告)日：2021-06-10

申请号：US17104091

申请日：2020-11-25

Applicant: Cisco Technology, Inc.

Inventor： Sajjit Thampy ,  Santosh Ghanshyam Pandey ,  Jean-Philippe Vasseur

IPC: H04L12/24 ,  H04L12/26 ,  H04W24/04 ,  H04B17/309

Abstract: In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs.

公开(公告)号：US10785744B1

公开(公告)日：2020-09-22

申请号：US16380705

申请日：2019-04-10

Applicant: Cisco Technology, Inc.

Inventor： Xu Zhang ,  Paul J. Stager ,  Santosh Ghanshyam Pandey ,  Matthew Aaron Silverman ,  Abhishek Mukherji

IPC: H04W74/00 ,  H04W64/00 ,  H04W8/02 ,  H04W4/33 ,  H04B17/382 ,  H04W4/02 ,  H04B17/327

Abstract: Offloading of location computation from a location server to an access point through the use of projections on base phase vectors may be provided. First, an Access Point (AP) may receive a set of two or more base phase vectors from a location server. Next, the AP may measure a measured phase vector for a first signal from a user device. Then, the AP can determine projection values based on a comparison of the measured phase vector to each base phase vector. From these comparisons, the AP can determine a subset of base phase vectors with the highest projection values. The AP can then send the projection values and the subset of base phase vectors to the location server, wherein the location server determines the device location from these projection values and subset of base phase vectors.

公开(公告)号：US10785090B2

公开(公告)日：2020-09-22

申请号：US15983437

申请日：2018-05-18

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Santosh Ghanshyam Pandey ,  Vikram Kumaran

IPC: H04L12/24 ,  H04L12/26 ,  G06N20/00 ,  H04L29/12

Abstract: In one embodiment, a network assurance service associates a target key performance indicator (tKPI) measured from a network with a plurality of causation key performance indicators (cKPIs) measured from the network that may indicate a root cause of a tKPI anomaly. The network assurance service applies a machine learning-based anomaly detector to the tKPI over time, to generate tKPI anomaly scores. The network assurance service calculates, for each of cKPIs, a mean and standard deviation of that cKPI using a plurality of different time windows associated with the tKPI anomaly scores. The network assurance service uses the calculated means and standard deviations of the cKPIs in the different time windows to calculate cross-correlation scores between the tKPI anomaly scores and the cKPIs. The network assurance service selects one or more of the cKPIs as the root cause of the tKPI anomaly based on their calculated cross-correlation scores.

公开(公告)号：US10680889B2

公开(公告)日：2020-06-09

申请号：US15942665

申请日：2018-04-02

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Vinay Kumar Kolar ,  Santosh Ghanshyam Pandey

IPC: H04L12/24 ,  H04L12/26 ,  G06N5/04 ,  G06N20/00

Abstract: In one embodiment, a network assurance service that monitors one or more networks receives data indicative of networking device configuration changes in the one or more networks. The service also receives one or more performance indicators for the one or more networks. The service trains a machine learning model based on the received data indicative of the networking device configuration changes and on the received one or more performance indicators for the one or more networks. The service predicts, using the machine learning model, a change in the one or more performance indicators that would result from a particular networking device configuration change. The service causes the particular networking device configuration change to be made in the network based on the predicted one or more performance indicators.

公开(公告)号：US20200015189A1

公开(公告)日：2020-01-09

申请号：US16029000

申请日：2018-07-06

Applicant: Cisco Technology, Inc.

Inventor： Abhishek Mukherji ,  Santosh Ghanshyam Pandey ,  Rong Peng ,  Vinay S. Raghuram

IPC: H04W64/00 ,  H04W24/02 ,  G06K9/62

Abstract: In one embodiment, a device determines that location accuracy performance of an indoor positioning system deployment is below a predefined threshold. The device obtains characteristic data for the indoor positioning system deployment. The device identifies, by using the characteristic data as input to a machine learning model, one or more contributing factors from the characteristic data for the location accuracy performance of the indoor positioning system deployment being below the predefined threshold. The device initiates a remediation action based on the identified one or more contributing factors for the location accuracy performance of the indoor positioning system deployment being below the predefined threshold.

公开(公告)号：US20190356533A1

公开(公告)日：2019-11-21

申请号：US15983437

申请日：2018-05-18

Applicant: Cisco Technology, Inc.

Inventor： Jean-Philippe Vasseur ,  Grégory Mermoud ,  Santosh Ghanshyam Pandey ,  Vikram Kumaran

IPC: H04L12/24 ,  H04L12/26 ,  G06N99/00

Abstract: In one embodiment, a network assurance service associates a target key performance indicator (tKPI) measured from a network with a plurality of causation key performance indicators (cKPIs) measured from the network that may indicate a root cause of a tKPI anomaly. The network assurance service applies a machine learning-based anomaly detector to the tKPI over time, to generate tKPI anomaly scores. The network assurance service calculates, for each of cKPIs, a mean and standard deviation of that cKPI using a plurality of different time windows associated with the tKPI anomaly scores. The network assurance service uses the calculated means and standard deviations of the cKPIs in the different time windows to calculate cross-correlation scores between the tKPI anomaly scores and the cKPIs. The network assurance service selects one or more of the cKPIs as the root cause of the tKPI anomaly based on their calculated cross-correlation scores.

公开(公告)号：US10425912B1

公开(公告)日：2019-09-24

申请号：US16250043

申请日：2019-01-17

Applicant: Cisco Technology, Inc.

Inventor： Abhishek Mukherji ,  Santosh Ghanshyam Pandey ,  Abhishek Bhattacharyya ,  Vinay Raghuram ,  Balaji Gurumurthy ,  Prasad Walawalkar

IPC: H04W24/00 ,  H04W64/00 ,  H04L12/24 ,  H04W4/029 ,  H04W4/33

Abstract: In one embodiment, a device receives location estimates for a wireless node in a network, each location estimate having an associated timestamp. The device applies hierarchical clustering to the received location estimates and their associated timestamps, to identify locations and points in time in which the wireless node was stationary. The device performs sequence modeling on the identified locations and points in time in which the wireless node was stationary, to form a sequence of locations and associated time periods in which the wireless node was stationary. The device associates the wireless node with a behavioral profile based on the sequence of locations and associated time periods in which the wireless node. The device generates, based in part on the behavioral profile for the wireless node, a predictive model that predicts a location of the wireless node at a particular point in time.

公开(公告)号：US09310463B2

公开(公告)日：2016-04-12

申请号：US14072851

申请日：2013-11-06

Applicant: Cisco Technology, Inc.

Inventor： Santosh Ghanshyam Pandey

IPC: G01S5/02 ,  H04W64/00

CPC classification number: G01S5/0252 ,  G01S5/021 ,  G01S5/0242 ,  H04W64/003

Abstract: Embodiments provide techniques for detecting access points on a position map, particularly incorrectly placed access points. For each access point in a plurality of access points, a subset of the plurality of access points that neighbor the access point are identified. Embodiments estimate a location of the access point, based on a respective indication of signal strength from each neighboring access point in the subset of access points and a respective position of each of the neighboring access points in position map. A difference between a recorded position of the access point in the position map and the estimated location of the access point is calculated. Embodiments then determine that the position within the position map for a first one of the plurality of access points is incorrect, based on the determined difference for the first access point.

Abstract translation: 实施例提供了用于检测位置图上的接入点的技术，特别是不正确放置的接入点。 对于多个接入点中的每个接入点，识别与接入点相邻的多个接入点的子集。 实施例基于来自接入点子集中的每个相邻接入点的信号强度的相应指示和位置图中的每个相邻接入点的相应位置估计接入点的位置。 计算位置图中的接入点的记录位置与接入点的估计位置之间的差异。 然后，实施例基于所确定的第一接入点的差异，确定位置图中位于多个接入点中的第一接入点的位置是不正确的。