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21.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
Applicant: Verizon Patent and Licensing Inc.
Inventor： Ye Ouyang , Carol Becht , Krishna Pichumani Iyer , Lily Zhu
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。
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22.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
Applicant: Verizon Patent and Licensing Inc.
Inventor： Ye Ouyang , Carol Becht , Krishna Pichumani Iyer
IPC: H04M3/22 , H04B17/309 , H04W24/08
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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公开(公告)号：US12249146B2
公开(公告)日：2025-03-11
申请号：US17673292
申请日：2022-02-16
Applicant: Verizon Patent and Licensing Inc.
Inventor： Le Su , Lin Tang , Krishna Pichumani Iyer , Yu Wan , Yiming Chen , Wenyuan Lu
Abstract: A system described herein may provide a technique for using modeling techniques to identify events, trends, etc. in a set of data, such as streaming video or audio content. The system may perform lightweight pre-processing operations on a different set of data, such as object position data, to identify timeframes at which an event may potentially have occurred, and the modeling techniques may be performed at portions of the streaming content that correspond to such timeframes. The system may forgo performing such modeling techniques at other portions of the streaming content, thus conserving processing resources.
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公开(公告)号：US20230260281A1
公开(公告)日：2023-08-17
申请号：US17673292
申请日：2022-02-16
Applicant: Verizon Patent and Licensing Inc.
Inventor： Le Su , Lin Tang , Krishna Pichumani Iyer , Yu Wan , Yiming Chen , Wenyuan Lu
CPC classification number: G06V20/44 , G06V10/755 , G06V20/41 , G06V20/46
Abstract: A system described herein may provide a technique for using modeling techniques to identify events, trends, etc. in a set of data, such as streaming video or audio content. The system may perform lightweight pre-processing operations on a different set of data, such as object position data, to identify timeframes at which an event may potentially have occurred, and the modeling techniques may be performed at portions of the streaming content that correspond to such timeframes. The system may forgo performing such modeling techniques at other portions of the streaming content, thus conserving processing resources.
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公开(公告)号：US11475774B2
公开(公告)日：2022-10-18
申请号：US16839824
申请日：2020-04-03
Applicant: Verizon Patent and Licensing Inc.
Inventor： Derek Wade Ohlarik , Mauricio Pati Caldeira de Andrada , Krishna Pichumani Iyer , Hoo Dennis Ong
Abstract: A device may include a memory storing instructions and processor configured to execute the instructions to receive information relating to a plurality of vehicles in an area. The device may be further configured to use a trained machine learning model to determine a likelihood of collision by one or more of the plurality of vehicles; identify one or more relevant vehicles of the plurality of vehicles that are in danger of collision based on the determined likelihood of collision; and send an alert indicating the danger of collision to at least one of the identified one or more relevant vehicles.
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Patent Agency Ranking
26.发明授权公开(公告)号：US11297486B2
公开(公告)日：2022-04-05
申请号：US16992567
申请日：2020-08-13
Applicant: Verizon Patent and Licensing Inc.
Inventor： Lun Yin , Le Su , Dandan Wang , Wenyuan Lu , Krishna Pichumani Iyer , Khurram Abbas , Steven F. Rice
Abstract: A device may include a processor configured to collect historical location data for a user equipment (UE) device associated with a user and determine a movement pattern for the user based on the collected historical location data. The processor may be further configured to obtain current location data for the UE device over a time period; determine a mobility score for the user for the time period based on the determined movement pattern and the obtained current location data, wherein the mobility score is associated with the user's movements during the time period with respect to the determined movement pattern for the user; and provide the determined mobility score for the user to another device configured to adjust one or more parameters of a radio access network (RAN) associated with the UE device based on the determined mobility score.
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公开(公告)号：US10728773B2
公开(公告)日：2020-07-28
申请号：US15880848
申请日：2018-01-26
Applicant: Verizon Patent and Licensing Inc.
Inventor： Ye Ouyang , Le Su , Krishna Pichumani Iyer , Christopher M. Schmidt
Abstract: A Self-Organizing Network (SON) collects data pertaining to a first number of cells of a wireless network. The SON splits the collected data into a second number of groups, and, for each of the second number of groups, repeatedly set a third number of clusters to a different number between a low limit and a high limit. The SON, for each of the settings, clusters the cells into the third number of clusters and trains a deep neural network to perform a regression analysis on the third number of clusters. For each of the second number of groups, the SON also determines an optimum number of clusters based on the regression analyses, re-clusters the cells into the optimum number of clusters; and tunes engineering parameters based on the re-clustering to optimize performance of the wireless network and quality of experience pertaining to the wireless network.
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公开(公告)号：US10667155B2
公开(公告)日：2020-05-26
申请号：US16036253
申请日：2018-07-16
Applicant: Verizon Patent and Licensing Inc.
Inventor： Ye Ouyang , Krishna Pichumani Iyer , Zhenyi Lin , Le Su
Abstract: A method, a device, and a non-transitory storage medium for estimating voice call quality include performing automatic speech recognition, for each of a plurality of voice calls, to generate recognized text for both an originating device acoustic signal and a receiving device acoustic signal. The recognized text for both the originating device acoustic signal and the receiving device acoustic signal are compared to the reference text to identified recognition errors and a voice call quality score for each of the originating device acoustic signal and the receiving device acoustic signal are determined. A correlation between the network conditions and the voice call quality scores is then determined.
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公开(公告)号：US10548032B2
公开(公告)日：2020-01-28
申请号：US15880855
申请日：2018-01-26
Applicant: Verizon Patent and Licensing Inc.
Inventor： Ye Ouyang , Le Su , Krishna Pichumani Iyer , Christopher M. Schmidt , Wenyuan Lu , Shaun Robert Pola , Maulik Shah
Abstract: A system may collect, from a wireless network, first data pertaining to nodes in the wireless network. Each datum of the first data belongs to one of two or more categories/For each of the nodes, for each of the categories, and for each datum belonging to the category, the system may determine if the datum is outside of a first range of values, and if the datum is inside the first range, the system may calculate a first base network performance health (NPH) score that is a function of the nodes, the categories, the data, and time. The system may also apply first deep learning to a first neural network among a plurality of neural networks to update first coefficients for correlating the first base NPH score to a mean opinion score, for each of the categories.
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公开(公告)号：US20200022007A1
公开(公告)日：2020-01-16
申请号：US16036253
申请日：2018-07-16
Applicant: Verizon Patent and Licensing Inc.
Inventor： Ye Ouyang , Krishna Pichumani Iyer , Zhenyi Lin , Le Su
Abstract: A method, a device, and a non-transitory storage medium for estimating voice call quality include performing automatic speech recognition, for each of a plurality of voice calls, to generate recognized text for both an originating device acoustic signal and a receiving device acoustic signal. The recognized text for both the originating device acoustic signal and the receiving device acoustic signal are compared to the reference text to identified recognition errors and a voice call quality score for each of the originating device acoustic signal and the receiving device acoustic signal are determined. A correlation between the network conditions and the voice call quality scores is then determined.
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