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公开(公告)号：US10582526B2
公开(公告)日：2020-03-03
申请号：US15827166
申请日：2017-11-30
Applicant: Verizon Patent and Licensing Inc.
Inventor： Bjorn Olof Erland Kalderen , Haim S. Ner , Said Soulhi
Abstract: A network device predicts end-to-end channel capacity entropy to permit use of optimal throughput settings in a network. The network device stores class definitions for a network condition; identifies multiple input features to correlate with the class definitions; generates a multiclass classification model that produces an importance score for each of the multiple input features, wherein the importance score reflects the contribution of an input feature to the network condition; selects two or more of the multiple input features with highest importance scores as influential features; predicts the behavior of the influential features to identify a current class, from the class definitions, for the network condition over an end-to-end communication channel; and sends an estimated network condition, based on the current class, to a device for traffic optimization.
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公开(公告)号：US12096254B2
公开(公告)日：2024-09-17
申请号：US18376937
申请日：2023-10-05
Applicant: Verizon Patent and Licensing Inc.
Inventor： Said Soulhi , Bryan Christopher Larish
IPC: H04W24/06 , H04B17/391 , H04W24/02
CPC classification number: H04W24/06 , H04B17/3912 , H04W24/02
Abstract: One or more computing devices, systems, and/or methods for system parameter identification and network component configuration are provided. A state comprising a system parameter combination, a traffic model, and a channel assignment may be generated. A network traffic scenario is executed through a virtualized testbed using the state. A reward for the system parameter combination may be generated based upon key performance indicators output by the network traffic scenario. A reward policy and rewards generated for system parameter combinations are used to select a system parameter combination that is used to configure a network component of a communication network.
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公开(公告)号：US20230394799A1
公开(公告)日：2023-12-07
申请号：US17804865
申请日：2022-06-01
Applicant: Verizon Patent and Licensing Inc.
Inventor： Said Soulhi , Bryan Christopher Larish
IPC: G06V10/774 , G06V10/75 , G06V10/74 , G06N20/20
CPC classification number: G06V10/774 , G06V10/751 , G06V10/761 , G06N20/20
Abstract: A system described herein may train an explanation model based on a set of images and a set of explanation labels. The system may receive input data, and may provide the input data to the explanation model and a second model. The second model may provide a set of output labels, which may include performing unknown or “black box” processing on the input data. The explanation model may generate one or more images based on the input data, compare the images to the set of images based on which the explanation model was trained, and accordingly identify one or more explanation labels with bounding boxes associated with the generated one or more images. The system may output, in response to the input data, the set of output labels provided by the second model as well as the identified explanation labels.
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14.发明公开公开(公告)号：US20230156501A1
公开(公告)日：2023-05-18
申请号：US18157469
申请日：2023-01-20
Applicant: Verizon Patent and Licensing Inc.
Inventor： Said Soulhi , Bryan Christopher Larish
CPC classification number: H04W24/08 , H04L43/0817 , H04W28/0268 , H04W24/02 , G06N3/088 , G06N10/60 , G06N3/045
Abstract: A system described herein may provide a technique for analyzing metrics, parameters, attributes, and/or other information associated with networks or other devices or systems associated with high-dimensional data in order to determine potential configuration changes that may be made to such networks or other devices or systems in order to optimize and/or otherwise enhance the operation of such networks or other devices or systems. Multiple autoencoders associated with multiple dimensions may be used to calculate reconstruction errors or other features of data (e.g., metrics, parameters, etc.) that may be used to define operating or performance states of the network. Operating or performance states of network components may be mapped to quantum state objects (“QSOs”) for analysis using artificial intelligence and/or machine learning techniques or other suitable techniques.
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公开(公告)号：US11601830B2
公开(公告)日：2023-03-07
申请号：US17101749
申请日：2020-11-23
Applicant: Verizon Patent and Licensing Inc.
Inventor： Said Soulhi , Bryan Christopher Larish
Abstract: A system described herein may provide a technique for analyzing metrics, parameters, attributes, and/or other information associated with networks or other devices or systems associated with high-dimensional data in order to determine potential configuration changes that may be made to such networks or other devices or systems in order to optimize and/or otherwise enhance the operation of such networks or other devices or systems. Multiple autoencoders associated with multiple dimensions may be used to calculate reconstruction errors or other features of data (e.g., metrics, parameters, etc.) that may be used to define operating or performance states of the network. Operating or performance states of network components may be mapped to quantum state objects (“QSOs”) for analysis using artificial intelligence and/or machine learning techniques or other suitable techniques.
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Patent Agency Ranking
公开(公告)号：US20230139135A1
公开(公告)日：2023-05-04
申请号：US17515595
申请日：2021-11-01
Applicant: Verizon Patent and Licensing Inc.
Inventor： Said Soulhi , Bryan Christopher Larish
Abstract: A system described herein may provide a technique for the augmentation of one or more models based on target distributions of values associated with the models. Such models may be associated with a wireless network, and may associate a set of states to a set of values and/or to a set of actions. Such states may include particular sets of configuration parameters associated with the wireless network, the values may include Key Performance Indicators (“KPIs”) associated with a randomness state model or other metrics associated with the wireless network, and the actions may include one or more actions to perform with respect to the wireless network when given a particular state and/or set of KPIs.
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公开(公告)号：US11038769B2
公开(公告)日：2021-06-15
申请号：US15815088
申请日：2017-11-16
Applicant: Verizon Patent and Licensing Inc.
Inventor： Bryan Christopher Larish , Said Soulhi
Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to train a generator neural network to simulate a network entity using a discriminator neural network that discriminates output associated with the network entity from output generated by the generator neural network. The computer device may be further configured to receive a set of input parameters associated with the simulated network entity; use the generator neural network to generate output for the simulated network entity based on the received set of input parameters; and apply the generated output for the simulated network entity to manage a communication network.
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公开(公告)号：US10165459B2
公开(公告)日：2018-12-25
申请号：US15258446
申请日：2016-09-07
Applicant: Verizon Patent and Licensing Inc.
Inventor： Edward M. Jack , Said Soulhi
Abstract: One or more remote radio probes (RRPs) may be installed in the fronthaul network of a cellular Radio Access Network. Each RRP may be designed as to be permanently, or semi-permanently, placed in the fronthaul network. The RRP may be designed to capture baseband radio data transmitted through the fronthaul network. The RRP may buffer and forward the captured baseband radio data to an analysis platform. The analysis platform may be a software implemented platform to perform signal and/or spectral analysis of the received baseband radio data.
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公开(公告)号：US10042665B2
公开(公告)日：2018-08-07
申请号：US15180500
申请日：2016-06-13
Applicant: Verizon Patent and Licensing Inc.
Inventor： Gagan Puranik , Patricia R. Chang , Said Soulhi
IPC: G06F9/455 , G06F9/46 , G06F15/173 , H04L12/24 , H04L12/931 , H04L12/46 , H04L29/08 , H04L12/911
Abstract: A customer premise equipment (CPE) associated with a customer premise forms a virtual machine (VM) and allocates a portion of processing resources and a portion of communications resources included in the CPE to the VM. The processing resources include, for example, general purposes processes and specialized processors for performing certain tasks. The communications resources relate to exchanging data with the CPE. The VM is assigned to a service provider, and service data associated with a service is received from the service provider. The service data to be processed by the VM and the processed service data is forwarded to user devices at the customer premise to provide the service to the user devices. The CPE may form different VMs for different service providers.
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公开(公告)号：US10039016B1
公开(公告)日：2018-07-31
申请号：US15622147
申请日：2017-06-14
Applicant: Verizon Patent and Licensing Inc.
Inventor： Bryan Christopher Larish , Said Soulhi
Abstract: A method is provided for obtaining reference signal measurements over a structured interface to support RF optimization via machine learning. The method, performed by a network device, includes identifying a target cluster of cell towers for a radio access network (RAN); generating a model for collecting RAN measurements from mobile communication devices in the target cluster; and sending the model via a structured reference point to client applications on the mobile communication devices. The model may direct collection of and sending of the RAN measurements by the client applications. The method may further include receiving, via the structured reference point, the RAN measurements from the client applications based on the model; and aggregating the RAN measurements to represent aspects of the target cluster based on the model.
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