Methods and systems for determining a voice quality score for a mobile telephone
    11.
    发明授权
    Methods and systems for determining a voice quality score for a mobile telephone 有权
    用于确定移动电话的语音质量得分的方法和系统

    公开(公告)号:US09531867B2

    公开(公告)日:2016-12-27

    申请号:US14675496

    申请日:2015-03-31

    CPC classification number: H04B17/309 H04M3/2236 H04M2207/18 H04W24/08

    Abstract: An exemplary method includes a voice quality assessment system receiving, from a mobile telephone operating on a mobile network, a test record that includes network indicator data and radio frequency (“RF”) data both measured by the mobile telephone while the mobile telephone is at a location within the mobile network, and applying the network indicator data and the RF data to a voice quality model built using data provided by a plurality of mobile telephones operating on the mobile network in order to generate a voice quality score that quantifies a quality of voice communications for the mobile telephone at the location within the mobile network. Corresponding systems and methods are also described.

    Abstract translation: 一种示范性方法包括语音质量评估系统,其从在移动网络上操作的移动电话接收包括网络指示符数据和无线电频率(“RF”)数据的测试记录,所述测量记录在移动电话处于 移动网络内的位置,以及将网络指示符数据和RF数据应用于使用由在移动网络上操作的多个移动电话提供的数据构建的语音质量模型,以产生量化质量的语音质量得分 用于移动电话在移动网络内的位置的语音通信。 还描述了相应的系统和方法。

    Application quality of experience evaluator for enhancing subjective quality of experience

    公开(公告)号:US10454989B2

    公开(公告)日:2019-10-22

    申请号:US15047728

    申请日:2016-02-19

    Abstract: A method to enhance a subjective quality of experience for an application may include receiving network performance data, the data representing at least one observable application characteristic, and the subjective quality of experience (QoE) survey data. The method may further include generating at least one perception model which relates the data representing at least one observable application characteristic and the network performance data, and determining a QoE model which relates the subjective QoE survey data and the data representing at least one observable application characteristic. The method may further include inverting the at least one perception model and the QoE model to obtain a relationship between network performance parameters and the at least one observable application characteristic, and adjusting network parameters based on the at least one inverted perception model and inverted QoE model.

    SYSTEM AND METHOD FOR ACCESS POINT SELECTION AND SCORING BASED ON MACHINE LEARNING

    公开(公告)号:US20190306736A1

    公开(公告)日:2019-10-03

    申请号:US16410284

    申请日:2019-05-13

    Abstract: A device may receive information that identifies a first set of parameter values associated with a first set of access points. The first set of access points may be associated with a set of known access point quality scores. The device may generate a model based on the set of known access point quality scores and the first set of parameter values. The device may receive information that identifies a second set of parameter values associated with a second set of access points. The device may determine a set of access point quality scores, for the second set of access points, based on the second set of parameter values and the model. The device may provide information to permit an action to be performed in association with the second set of access points.

    Methods and systems for evaluating voice over wi-fi (VoWiFi) call quality

    公开(公告)号:US10212091B2

    公开(公告)日:2019-02-19

    申请号:US15974837

    申请日:2018-05-09

    Abstract: A method, a device, and a non-transitory storage medium provide receiving a plurality of voice call quality values and values for a plurality key performance indicators (KPIs) related to voice over Wi-Fi voice call quality; selecting a subset of the plurality of KPIs based on a correlation between each KPI and the voice call quality value; performing a plurality of discrete regression analyses based on the subsets of the plurality of KPIs and the voice call quality values to generate a plurality of regression results; determining an accuracy for each of the plurality of regression results; assigning weights to each of the plurality of regression results based on the determined accuracies; and combining the plurality of regression results using the assigned weights to generate a final combined estimated VoWiFi voice call quality algorithm that accurately predicts the voice call quality value based on values for the selected subset of the plurality of KPIs.

    Evaluating device antenna performance and quality
    18.
    发明授权
    Evaluating device antenna performance and quality 有权
    评估设备天线的性能和质量

    公开(公告)号:US09590746B2

    公开(公告)日:2017-03-07

    申请号:US14567044

    申请日:2014-12-11

    CPC classification number: H04B17/16 H04B17/318 H04W24/10

    Abstract: A method includes receiving over-the-air (OTA) performance test data measured for a first set of pass computing devices and for a second set of fail computing devices, measuring a first set of training data for the first and second set of computing devices during a plurality of KPI tests, measuring a second set of training data for a particular computing device, determining which ones of the plurality of KPIs qualify as clustering features, and determining a first set of KPI centers, a second set of KPI centers, and a third set of KPI centers, determining a first and a second dissimilarity distance separating the first set and the second set of computing devices from the particular device, respectively. The method further includes determining whether the first dissimilarity distance is greater than second dissimilarity distance to qualify the particular computing device to pass the OTA test.

    Abstract translation: 一种方法包括接收为第一组通过计算设备和第二组故障计算设备测量的空中(OTA)性能测试数据,测量第一和第二组计算设备的第一组训练数据 在多个KPI测试期间,测量用于特定计算设备的第二组训练数据,确定所述多个KPI中的哪一个符合聚类特征,以及确定第一组KPI中心,第二组KPI中心,以及 第三组KPI中心,分别确定将第一组和第二组计算装置与特定装置分开的第一和第二不相似距离。 该方法还包括确定第一不相似距离是否大于第二不相似距离以限定特定计算设备通过OTA测试。

    Cellular network cell clustering and prediction based on network traffic patterns
    19.
    发明授权
    Cellular network cell clustering and prediction based on network traffic patterns 有权
    基于网络流量模式的蜂窝网络小区聚类和预测

    公开(公告)号:US09538401B1

    公开(公告)日:2017-01-03

    申请号:US14975116

    申请日:2015-12-18

    CPC classification number: H04W24/02 H04W16/22

    Abstract: A device may receive an initial set of network parameter values, associated with cells of a cellular network, that are measured or calculated based on communications associated with the cells of the cellular network. The device may determine a set of feature values, associated with the cells of the cellular network, using the initial set of network parameter values. The device may cluster the cells of the cellular network into a first group of clusters using a first clustering technique, and may cluster the cells of the cellular network into a second group of clusters using a second clustering technique. The device may cluster the cells of the cellular network into a final group of clusters based on the first group of clusters and the second group of clusters, and may output information associated with the final group of clusters of the cells of the cellular network.

    Abstract translation: 设备可以基于与蜂窝网络的小区相关联的通信来测量或计算与蜂窝网络的小区相关联的初始网络参数值集合。 设备可以使用初始的一组网络参数值来确定与蜂窝网络的小区相关联的一组特征值。 设备可以使用第一聚类技术将蜂窝网络的小区聚集成第一群集,并且可以使用第二聚类技术将蜂窝网络的小区聚类成第二群集。 该设备可以基于第一组群集和第二组群集将蜂窝网络的小区聚集成最终群集,并且可以输出与蜂窝网络的小区的最终群集相关联的信息。

    Methods and Systems for Determining a Voice Quality Score for a Mobile Telephone
    20.
    发明申请
    Methods and Systems for Determining a Voice Quality Score for a Mobile Telephone 有权
    确定移动电话语音质量得分的方法和系统

    公开(公告)号:US20160295012A1

    公开(公告)日:2016-10-06

    申请号:US14675496

    申请日:2015-03-31

    CPC classification number: H04B17/309 H04M3/2236 H04M2207/18 H04W24/08

    Abstract: An exemplary method includes a voice quality assessment system receiving, from a mobile telephone operating on a mobile network, a test record that includes network indicator data and radio frequency (“RF”) data both measured by the mobile telephone while the mobile telephone is at a location within the mobile network, and applying the network indicator data and the RF data to a voice quality model built using data provided by a plurality of mobile telephones operating on the mobile network in order to generate a voice quality score that quantifies a quality of voice communications for the mobile telephone at the location within the mobile network. Corresponding systems and methods are also described.

    Abstract translation: 一种示范性方法包括语音质量评估系统,其从在移动网络上操作的移动电话接收包括网络指示符数据和无线电频率(“RF”)数据的测试记录,所述测量记录在移动电话处于 移动网络内的位置,以及将网络指示符数据和RF数据应用于使用由在移动网络上操作的多个移动电话提供的数据构建的语音质量模型,以产生量化质量的语音质量得分 用于移动电话在移动网络内的位置的语音通信。 还描述了相应的系统和方法。

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