公开(公告)号：US20240172128A1

公开(公告)日：2024-05-23

申请号：US18430809

申请日：2024-02-02

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury

IPC: H04W52/26 ,  G06N5/04 ,  H04L41/147 ,  H04W24/08

CPC classification number: H04W52/265 ,  G06N5/04 ,  H04L41/147 ,  H04W24/08

Abstract: Systems and methods may optimize power consumption for RAN devices. A device obtains field data of user equipment (UE) devices for a group of cells during a time interval. The device computes cell boundaries for each cell and computes a cumulative overlap feature within the geographic area of interest for each cell of the group of cells during a future time period. The device determines updated cell boundaries that correspond to a reduced energy consumption needed to meet service requirements during the future time period.

公开(公告)号：US12213083B2

公开(公告)日：2025-01-28

申请号：US18430809

申请日：2024-02-02

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury

IPC: H04B7/00 ,  G06N5/04 ,  H04L41/147 ,  H04W24/08 ,  H04W52/26

Abstract: Systems and methods may optimize power consumption for RAN devices. A device obtains field data of user equipment (UE) devices for a group of cells during a time interval. The device computes cell boundaries for each cell and computes a cumulative overlap feature within the geographic area of interest for each cell of the group of cells during a future time period. The device determines updated cell boundaries that correspond to a reduced energy consumption needed to meet service requirements during the future time period.

公开(公告)号：US20230156620A1

公开(公告)日：2023-05-18

申请号：US17526515

申请日：2021-11-15

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury

IPC: H04W52/26 ,  H04W24/08 ,  H04L12/24 ,  G06N5/04

CPC classification number: H04W52/265 ,  G06N5/04 ,  H04L41/147 ,  H04W24/08

Abstract: Systems and methods may optimize power consumption for RAN devices. A device obtains field data of user equipment (UE) devices for a group of cells during a time interval. The field data includes signal strength measurements. The device computes cell boundaries for each cell based on the field data and predicts signal strength values inside each of the cell boundaries for a future time period. The device computes a cumulative overlap feature and a weighted signal strength feature for each cell of the group of cells during the future time period and generates an energy consumption predictive model that applies the cumulative overlap feature and the weighted signal strength feature for the future time period. The device determines, based on the energy consumption predictive model, optimal cell boundaries that correspond to a reduced energy consumption needed to meet service requirements during the future time period.

公开(公告)号：US12022308B2

公开(公告)日：2024-06-25

申请号：US17450792

申请日：2021-10-13

Applicant: Verizon Patent and Licensing Inc.

Inventor： Mark Ernest Newbury ,  Chin Chiu ,  Jack Anthony Smith ,  Sachin Vargantwar

IPC: H04W24/08 ,  H04B7/0413 ,  H04L5/00

CPC classification number: H04W24/08 ,  H04B7/0413 ,  H04L5/0048

Abstract: In some implementations, a device may determine a signal to interference and noise ratio (SINR) value associated with a communication channel between a user equipment and the device. The device may select, based on the SINR value, a channel quality indicator (CQI) value associated with the communication channel or a sounding reference signal (SRS) from the UE to determine a multiple-input and multiple-output (MIMO) configuration for transmitting data to the UE. The device may determine the MIMO configuration according to the CQI value based on the SINR value being a first value. The device may determine the MIMO configuration according to the SRS based on the SINR value being a second value that is different than the first value. The device may transmit the data to the UE using the MIMO configuration.

公开(公告)号：US11329737B1

公开(公告)日：2022-05-10

申请号：US17140938

申请日：2021-01-04

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury ,  Venkata Sambasivarao Dhulipalla

IPC: H04B17/391 ,  H04W16/22 ,  H04W52/24 ,  H04W16/28 ,  H04W52/28

Abstract: A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.

公开(公告)号：US11924778B2

公开(公告)日：2024-03-05

申请号：US17526515

申请日：2021-11-15

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury

IPC: H04B7/00 ,  G06N5/04 ,  H04L41/147 ,  H04W24/08 ,  H04W52/26

CPC classification number: H04W52/265 ,  G06N5/04 ,  H04L41/147 ,  H04W24/08

Abstract: Systems and methods may optimize power consumption for RAN devices. A device obtains field data of user equipment (UE) devices for a group of cells during a time interval. The field data includes signal strength measurements. The device computes cell boundaries for each cell based on the field data and predicts signal strength values inside each of the cell boundaries for a future time period. The device computes a cumulative overlap feature and a weighted signal strength feature for each cell of the group of cells during the future time period and generates an energy consumption predictive model that applies the cumulative overlap feature and the weighted signal strength feature for the future time period. The device determines, based on the energy consumption predictive model, optimal cell boundaries that correspond to a reduced energy consumption needed to meet service requirements during the future time period.

公开(公告)号：US20230289282A1

公开(公告)日：2023-09-14

申请号：US17692604

申请日：2022-03-11

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury

IPC: G06F11/36

CPC classification number: G06F11/3684 ,  G06F11/3688

Abstract: A method, a device, and a non-transitory storage medium are described in which a test case generation service is provided. The service may include receiving and validating requirement text associated with a prospective test case and/or test script. The service may invoke a remedial procedure when the requirement text is not validated. The service may include selecting multiple types of classification models based on a model profile. The service may include aggregating probability values associated with classifications for sentences, and approving such classification that satisfy a threshold value. The service may further include generating test cases and/or test scripts. The service may generate a schedule for test cases and/or test scripts based on one or multiple criteria values generated by one or multiple predictive models.

公开(公告)号：US11716161B2

公开(公告)日：2023-08-01

申请号：US17658862

申请日：2022-04-12

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury ,  Venkata Sambasivarao Dhulipalla

IPC: H04B17/391 ,  H04W16/22 ,  H04W52/24 ,  H04W16/28 ,  H04W52/28

CPC classification number: H04B17/3913 ,  H04W16/22 ,  H04W16/28 ,  H04W52/241 ,  H04W52/283

Abstract: A system described herein may provide for the use of artificial intelligence/machine learning (“AI/ML”) techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks (“RANs”) of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.

公开(公告)号：US11848896B2

公开(公告)日：2023-12-19

申请号：US17139248

申请日：2020-12-31

Applicant: Verizon Patent and Licensing Inc.

Inventor： Matthijs Andries Visser ,  Sachin Vargantwar ,  Mark Ernest Newbury

IPC: H04L43/16 ,  H04W72/12 ,  H04L5/14 ,  H04L41/0803 ,  H04W24/08 ,  H04W72/02

CPC classification number: H04L5/14 ,  H04L41/0803 ,  H04L43/16 ,  H04W24/08 ,  H04W72/02

Abstract: A method, a device, and a non-transitory storage medium are described in which a TDD slot format selection service is provided. The service may calculate a distance between a radio access network device and an end device and use the distance to select a TDD configuration for the end device. The service may use other criteria to select the TDD configuration such as downlink or uplink ratios and/or interference value pertaining to a neighboring radio access network device. The service may also include scheduling of traffic adjustments based on a determined traffic bias associated with the end device and slot format symbols.

公开(公告)号：US20230156482A1

公开(公告)日：2023-05-18

申请号：US17525418

申请日：2021-11-12

Applicant: Verizon Patent and Licensing Inc.

Inventor： Farid Khafizov ,  Mark Ernest Newbury

IPC: H04W16/18 ,  G06F30/20 ,  H04W16/22

CPC classification number: H04W16/18 ,  G06F30/20 ,  H04W16/22

Abstract: A system described herein may identify a relative feature importance of a set of features in a modeling and/or simulation system. The same set of features may be provided to a group of different models. A relative feature importance of each feature of the set of features may be determined, on a per-model basis, based on comparing outputs of the model with and without particular features of the set of features. A relative feature of each feature may be further be determined on an inter-model basis by identifying features that are commonly ranked highly in the per-model rankings. An iterative process may evaluate the highest ranked, next-highest ranked, etc. features across multiple models. A simulation system may utilize the rankings to more efficiently perform one or more simulations, which may include omitting one or more features of the set of features when performing the simulations.