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公开(公告)号：US11075929B1
公开(公告)日：2021-07-27
申请号：US15900498
申请日：2018-02-20
Applicant: Facebook, Inc.
Abstract: In one embodiment, a method includes accessing time series data of a wireless communication link between a first node and a second node on a millimeter-wave communications network; determining that an anomaly exists in the time series data; determining an anomaly type for the anomaly by inputting one or more features derived from the time series data into a machine learning module; generating a report comprising an indication that the anomaly exists and a description of the anomaly type, and determining one or more treatments for the determined anomaly.
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公开(公告)号：US20200351201A1
公开(公告)日：2020-11-05
申请号：US16930712
申请日：2020-07-16
Applicant: Facebook, Inc.
Inventor： Ying Li , Martinus Arnold de Jongh , Vincent Gonguet , James Donovan , Laurent Corigliano
IPC: H04L12/801 , H04L12/26
Abstract: In one embodiment, the system identifies one or more geographic areas covered by a communication network. The system determines, for each identified geographic area, a congestion metric for the identified geographic area based at least on a difference between a first and second reference point on a network speed curve, wherein the network speed curve represents download speeds for a volume of traffic in the identified geographic area. The system identifies one or more network traffic congestions in one or more of the identified geographic areas based on a comparison of the respective congestion metrics of the identified geographic areas to a threshold congestion metric. The system sends, to one or more operators of the communication network, one or more alerts about the identified network traffic congestions.
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公开(公告)号：US10805170B1
公开(公告)日：2020-10-13
申请号：US16355776
申请日：2019-03-17
Applicant: Facebook, Inc.
Inventor： Fan Sun , Yanzi Zhu , Ying Li , Djordje Tujkovic
Abstract: Apparatuses, methods, and systems for monitoring performance of a wireless network and assigning sectors of nodes of the wireless network are disclosed. A method includes monitoring a performance of links between sectors of wireless nodes of the wireless network, assigning or reassigning sectors of the wireless nodes to operate in a first mode based on the monitored performance of the links, wherein all of the sectors operating in the first mode are configured to transmit signals or simultaneously receive signals, and assigning or reassigning sectors of the plurality of wireless nodes to operate in a second mode based on the monitored performance of the links, wherein all of the sectors operating in the second mode are configured to transmit signals when all of the sectors operating in the first mode are receiving signals, or receive signals when all of the sectors operating in the first mode are transmitting signals.
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公开(公告)号：US20210250245A1
公开(公告)日：2021-08-12
申请号：US16784903
申请日：2020-02-07
Applicant: Facebook, Inc.
Inventor： Ying Li , Martinus Arnold de Jongh
Abstract: In one embodiment, a computing system may access data samples associated with an access point of a communication network. The data samples may be collected at an application level from client devices associated with the access point and aggregated into data points correlating a first network metric to a traffic-volume metric. The system may partition the data points into a first and second set of data points using a first network metric threshold. The system may determine trends of the traffic-volume metric with respect to the first network metric based on regression analysis on the first and second sets of data points. The system may predict, based on the trends of the traffic-volume metric with respect to the first network metric, an amount of time until a network-capacity metric of the access point meets a traffic-loss threshold. The network-capacity metric may be determined based on the traffic-volume metric.
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公开(公告)号：US20200336923A1
公开(公告)日：2020-10-22
申请号：US16389226
申请日：2019-04-19
Applicant: Facebook, Inc.
Inventor： Ying Li , Vincent Gonguet , Martinus Arnold de Jongh
Abstract: In one embodiment, a computing system may collect data samples associated with a geographic area of interest covered by a communication network. The system may aggregate the data samples into data points. The system may split the aggregated data points into two sets of data points using a first threshold of a first network metric. The system may determine a trend of a second network metric over the first network metric based on regression on the two sets of data points. The system may determine a predicted gain of the second network metric for a network enhancement operation based on the trend of the second network metric and a reference value of the first network metric. The system may generate network optimization recommendations for the geographic area of interest based at least in part on the predicted gain of the second network metric.
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Patent Agency Ranking
公开(公告)号：US10764184B2
公开(公告)日：2020-09-01
申请号：US16155510
申请日：2018-10-09
Applicant: Facebook, Inc.
Inventor： Ying Li , Martinus Arnold de Jongh , Vincent Gonguet , James Donovan , Laurent Corigliano
IPC: H04L12/801 , H04L12/26
Abstract: In one embodiment, the system identifies geographic areas covered by a communication network. The system determines, for each identified geographic area, a network performance metric for the identified geographic area based on a difference between: (1) a first average network speed of the communication network in the identified geographic area during prior time periods in which the communication network is busy, and (2) a second average network speed of the communication network in the identified geographic area during second prior time periods in which the communication network is not busy. The system compares the respective performance metrics of the geographic areas to a threshold network performance metric, which is determined by a congestion-analysis machine learning (ML) model. The system identifies traffic congestions in one or more of the identified geographic areas having a determined network performance metric below the threshold network performance metric.
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公开(公告)号：US20210211901A1
公开(公告)日：2021-07-08
申请号：US17195369
申请日：2021-03-08
Applicant: Facebook, Inc.
Inventor： Ying Li , Vincent Gonguet , Martinus Arnold de Jongh
Abstract: In one embodiment, a computing system may receive a request for an optimization recommendation of a geographic area of interest covered by a communication network. The computing system may determine a network traffic trend associated with the geographic area of interest based on a current number of data samples that may be aggregated into a plurality of data points. The computing system may predict a value of a number of data samples for a future time associated with the geographic area of interest, based on the determined network traffic trend and the current number of data samples. The computing system may predict, based on the determined network traffic trend and the predicted value of the number of data samples at the future time, network traffic associated with the geographic area of interest at the future time, and send instructions for presenting the optimization recommendation based on the predicted network traffic.
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公开(公告)号：US20200029240A1
公开(公告)日：2020-01-23
申请号：US16226477
申请日：2018-12-19
Applicant: Facebook, Inc.
Inventor： Ying Li , Martinus Arnold de Jongh , Vincent Gonguet
Abstract: In one embodiment, a computing system determines quality of experience metrics and root-cause metrics for geographic areas connected by a communication network based on application data. The system determines that one or more of the geographic areas have low quality of experience based on the quality of experience metrics and a first set of criteria which includes one or more first thresholds for the quality of experience metrics. The system determines causes for the low quality of experience in each associated geographic area having low quality of experience based on the root-cause metrics and a second set of criteria which includes one or more second thresholds and is looser than the first set of criteria. The system determines a solution recommendation for the low quality of experience in each associated geographic area based on the causes of the low quality of experience of that geographic area.
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公开(公告)号：US11212188B2
公开(公告)日：2021-12-28
申请号：US16784903
申请日：2020-02-07
Applicant: Facebook, Inc.
Inventor： Ying Li , Martinus Arnold de Jongh
IPC: G06F15/173 , H04L12/24 , H04L12/26
Abstract: In one embodiment, a computing system may access data samples associated with an access point of a communication network. The data samples may be collected at an application level from client devices associated with the access point and aggregated into data points correlating a first network metric to a traffic-volume metric. The system may partition the data points into a first and second set of data points using a first network metric threshold. The system may determine trends of the traffic-volume metric with respect to the first network metric based on regression analysis on the first and second sets of data points. The system may predict, based on the trends of the traffic-volume metric with respect to the first network metric, an amount of time until a network-capacity metric of the access point meets a traffic-loss threshold. The network-capacity metric may be determined based on the traffic-volume metric.
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公开(公告)号：US10979914B2
公开(公告)日：2021-04-13
申请号：US16389226
申请日：2019-04-19
Applicant: Facebook, Inc.
Inventor： Ying Li , Vincent Gonguet , Martinus Arnold de Jongh
Abstract: In one embodiment, a computing system may collect data samples associated with a geographic area of interest covered by a communication network. The system may aggregate the data samples into data points. The system may split the aggregated data points into two sets of data points using a first threshold of a first network metric. The system may determine a trend of a second network metric over the first network metric based on regression on the two sets of data points. The system may determine a predicted gain of the second network metric for a network enhancement operation based on the trend of the second network metric and a reference value of the first network metric. The system may generate network optimization recommendations for the geographic area of interest based at least in part on the predicted gain of the second network metric.
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