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公开(公告)号:US10595165B2
公开(公告)日:2020-03-17
申请号:US16045425
申请日:2018-07-25
Applicant: Cisco Technology, Inc.
Inventor: Xu Zhang , John Martin Blosco , Xiangxiang Fang , Danielle Bane , Matthew Aaron Silverman
Abstract: In one embodiment, a method is performed. A device may receive an antenna state configuration and a sequence from a wireless access point (AP) device. A plurality of antenna states configured on the device may be selected based on the antenna state configuration and the sequence. An inertial measurement unit (IMU) measurement may be determined. A beacon signal may be transmitted for each selected antenna state. Each transmitted beacon signal may indicate a corresponding selected antenna state.
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公开(公告)号:US20230254721A1
公开(公告)日:2023-08-10
申请号:US18156012
申请日:2023-01-18
Applicant: Cisco Technology, Inc.
Inventor: Khashayar Mirfakhraei , Xu Zhang , Ardalan Alizadeh , Amir Hosein Kamalizad
IPC: H04W24/10 , H04W72/1263 , H04W24/08 , H04W72/0446 , H04W72/0453
CPC classification number: H04W24/10 , H04W72/1263 , H04W24/08 , H04W72/0446 , H04W72/0453
Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.
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公开(公告)号:US11363558B2
公开(公告)日:2022-06-14
申请号:US16655030
申请日:2019-10-16
Applicant: Cisco Technology, Inc.
Inventor: Matthew Aaron Silverman , Xu Zhang , Santosh Ghanshyam Pandey , Jerome Henry , Paul J. Stager
Abstract: Access Point (AP) placement using Fine Time Measurement (FTM) may be provided. First, a plurality of Time-of-Flight (ToF) values between a first service end point and a second service end point may be determined. Each one of the plurality of ToF values may be derived from packets transmitted via different beamforming vector patterns at the first service end point and the second service end point. Then a minimum ToF value of the plurality of ToF values may be determined. Next, a distance between the first service end point and the second service end point may be determined based on the minimum ToF value.
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公开(公告)号:US10925001B2
公开(公告)日:2021-02-16
申请号:US16407447
申请日:2019-05-09
Applicant: Cisco Technology, Inc.
Inventor: Gautam Dilip Bhanage , Pooya Monajemi , Khashayar Mirfakhraei , Ardalan Alizadeh , Xu Zhang
Abstract: In one embodiment, a device in a wireless network receives a target wake time (TWT) request from a wireless client. The device computes TWT parameters based on the received request. The device predicts, using the computed TWT parameters as input to a machine learning model, whether the computed TWT parameters will be accepted by the wireless client. The device provides the computed TWT parameters to the wireless client, based on a prediction by the machine learning model that the client will accept the computed TWT parameters.
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公开(公告)号:US20200320397A1
公开(公告)日:2020-10-08
申请号:US16375315
申请日:2019-04-04
Applicant: Cisco Technology, Inc.
Inventor: Dantong LIU , Qing ZHAO , Khashayar MIRFAKHRAEI , Gautam Dilip BHANAGE , Xu Zhang , Ardalan Alizadeh
Abstract: Learning-based service migration in mobile edge computing may be provided. First, a service migration policy may be created for a network that includes a plurality of edge clouds configured to provide a service to users. Next, a movement of a user receiving the service from a source edge cloud may be detected. The source edge cloud may be associated with a first area and the detected movement may be from the first area to a second area. Then, the service migration policy may be applied to determine whether to migrate the service for the user from the source edge cloud. In response to determining to migrate the service, a target edge cloud may be identified and the service for the user may be migrated from the source edge cloud to the target edge cloud. The service migration policy may then be updated based on a success of the migration.
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公开(公告)号:US10794983B1
公开(公告)日:2020-10-06
申请号:US16521860
申请日:2019-07-25
Applicant: Cisco Technology, Inc.
Inventor: Mukul Chandail , Khashayar Mirfakhraei , Matthew Aaron Silverman , Xu Zhang , Zhigang Gao , Paul Jeffrey Stager
Abstract: In one embodiment, a device obtains a machine learning model indicative of how to focus on particular location information from a plurality of radio frequency (RF) elements to provide an accurate location estimate of a wireless client based at least in part on angle-of-arrival information of the wireless client. When the device then obtains location information regarding the wireless client from the plurality of RF elements, it may apply the machine learning model to the location information regarding the wireless client to focus on particular location information of the location information from the plurality of RF elements. The device may then estimate a physical location of the wireless client based on focusing on the particular location information during a locationing computation.
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27.
公开(公告)号:US10785744B1
公开(公告)日:2020-09-22
申请号:US16380705
申请日:2019-04-10
Applicant: Cisco Technology, Inc.
Inventor: Xu Zhang , Paul J. Stager , Santosh Ghanshyam Pandey , Matthew Aaron Silverman , Abhishek Mukherji
IPC: H04W74/00 , H04W64/00 , H04W8/02 , H04W4/33 , H04B17/382 , H04W4/02 , H04B17/327
Abstract: Offloading of location computation from a location server to an access point through the use of projections on base phase vectors may be provided. First, an Access Point (AP) may receive a set of two or more base phase vectors from a location server. Next, the AP may measure a measured phase vector for a first signal from a user device. Then, the AP can determine projection values based on a comparison of the measured phase vector to each base phase vector. From these comparisons, the AP can determine a subset of base phase vectors with the highest projection values. The AP can then send the projection values and the subset of base phase vectors to the location server, wherein the location server determines the device location from these projection values and subset of base phase vectors.
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公开(公告)号:US20200296611A1
公开(公告)日:2020-09-17
申请号:US16299481
申请日:2019-03-12
Applicant: Cisco Technology, Inc.
Inventor: Khashayar Mirfakhraei , Xu Zhang , Ardalan Alizadeh , Amir Hosein Kamalizad
Abstract: In one embodiment, an apparatus comprises a compressive sensing schedule generator configured to generate a plurality of compressive sensing schedules, wherein each of the plurality of compressive sensing schedules is for each of a plurality of frequency bands of a network, wherein the network comprises a plurality of access points and a plurality of clients, and a sensing matrix combiner configured to combine the plurality of compressive sensing schedules into a resulting schedule that comprises a spatial distribution and a scheduled time slot for each of the plurality of access points.
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公开(公告)号:US11758508B2
公开(公告)日:2023-09-12
申请号:US17833824
申请日:2022-06-06
Applicant: Cisco Technology, Inc.
Inventor: Matthew Aaron Silverman , Xu Zhang , Santosh Ghanshyam Pandey , Jerome Henry , Paul J. Stager
CPC classification number: H04W64/003 , G01S13/762 , H04W16/28
Abstract: Access Point (AP) placement using Fine Time Measurement (FTM) may be provided. First, a plurality of Time-of-Flight (ToF) values between a first service end point and a second service end point may be determined. Each one of the plurality of ToF values may be derived from packets transmitted via different beamforming vector patterns at the first service end point and the second service end point. Then a minimum ToF value of the plurality of ToF values may be determined. Next, a distance between the first service end point and the second service end point may be determined based on the minimum ToF value.
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公开(公告)号:US11132608B2
公开(公告)日:2021-09-28
申请号:US16375315
申请日:2019-04-04
Applicant: Cisco Technology, Inc.
Inventor: Dantong Liu , Qing Zhao , Khashayar Mirfakhraei , Gautam Dilip Bhanage , Xu Zhang , Ardalan Alizadeh
Abstract: Learning-based service migration in mobile edge computing may be provided. First, a service migration policy may be created for a network that includes a plurality of edge clouds configured to provide a service to users. Next, a movement of a user receiving the service from a source edge cloud may be detected. The source edge cloud may be associated with a first area and the detected movement may be from the first area to a second area. Then, the service migration policy may be applied to determine whether to migrate the service for the user from the source edge cloud. In response to determining to migrate the service, a target edge cloud may be identified and the service for the user may be migrated from the source edge cloud to the target edge cloud. The service migration policy may then be updated based on a success of the migration.
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