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1.
公开(公告)号:US11818706B2
公开(公告)日:2023-11-14
申请号:US17241928
申请日:2021-04-27
Applicant: Cisco Technology, Inc.
Inventor: Gautam D. Bhanage , Vishal Satyendra Desai , Ramadhasan Thangachamy , Ardalan Alizadeh , Khashayar Mirfakhraei , Robert E. Barton , Jerome Henry
IPC: H04W72/1263 , H04B17/318 , H04W72/21 , H04W84/18 , H04W84/12
CPC classification number: H04W72/1263 , H04B17/318 , H04W72/21 , H04W84/12 , H04W84/18
Abstract: Improved mesh performance using Overlapping Basic Service Set (OBSS) coloring and transmission scheduling may be provided. A controller may determine that a plurality of Access Points (APs) in a mesh network each have a Received Signal Strength Indicator (RSSI) that is in a predetermined range. Next, the controller may assign, in response to determining that the plurality of APs each have the RSSI that is in the predetermined range, OBSS colors to links between the plurality of APs to limit packet collision in the mesh network between the plurality of APs. The controller may then create a transmission schedule for transmissions between the plurality of APs in the mesh network based on the assigned OBSS colors.
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公开(公告)号:US11818567B2
公开(公告)日:2023-11-14
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 , H04W72/10 , H04W24/08 , H04W72/04 , H04W72/1263 , H04W72/0446 , H04W72/0453
CPC classification number: H04W24/10 , H04W24/08 , H04W72/0446 , H04W72/0453 , H04W72/1263
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:US20220225205A1
公开(公告)日:2022-07-14
申请号:US17145218
申请日:2021-01-08
Applicant: Cisco Technology, Inc.
Inventor: Gautam D. Bhanage , Vishal Satyendra Desai , Ardalan Alizadeh , Khashayar Mirfakhraei
Abstract: Optimal determination of wireless network pathway configurations may be provided. A computing device may detect, at a first network Access Point (AP), inference on a channel with a second AP. Then, the computing device can check availability of a redundant radio at the second AP. Based on the availability, the computing device can establish a new radio link with the redundant radio at the second AP and reroute data traffic over the new radio link to the second AP. After establishing the new radio link, the computing device can then sever the channel with the second AP.
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公开(公告)号:US11057831B2
公开(公告)日:2021-07-06
申请号:US16408546
申请日:2019-05-10
Applicant: Cisco Technology, inc.
Inventor: Khashayar Mirfakhraei , Amir Hosein Kamalizad , Xu Zhang , Ardalan Alizadeh , Vishal Satyendra Desai
Abstract: In one embodiment, a supervisory service for a wireless network computes a compressive sensing schedule for a plurality of sensors in the wireless network. The service sends target wake time (TWT) messages to a subset of the plurality of sensors according to the computed compressive sensing schedule. The service receives, in response to the TWT messages, sensor readings from the subset of the plurality of sensors. The service performs compressive sensing on the received sensor readings.
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5.
公开(公告)号:US20200296739A1
公开(公告)日:2020-09-17
申请号:US16299487
申请日:2019-03-12
Applicant: Cisco Technology, Inc.
Abstract: In one embodiment, an apparatus comprises an enhanced distributed channel access (EDCA) selection agent configured to receive a plurality of measurements pertaining to a plurality of clients, compute a set of optimal EDCA parameters using the plurality of measurements, and provide an EDCA configuration for the plurality of clients, and a client behavior predictor configured to receive the plurality of measurements pertaining to the plurality of clients, to receive the set of optimal EDCA parameters, and to compute a plurality of client mode predictions. Client mode predictions may be evaluated and potentially used for additional EDCA parameter optimization by the EDCA selection agent.
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公开(公告)号:US20230328624A1
公开(公告)日:2023-10-12
申请号:US18332810
申请日:2023-06-12
Applicant: Cisco Technology, Inc.
Inventor: Gautam D. Bhanage , Vishal Satyendra Desai , Ardalan Alizadeh , Khashayar Mirfakhraei
Abstract: Optimal determination of wireless network pathway configurations may be provided. A computing device may detect, at a first network Access Point (AP), inference on a channel with a second AP. Then, the computing device can check availability of a redundant radio at the second AP. Based on the availability, the computing device can establish a new radio link with the redundant radio at the second AP and reroute data traffic over the new radio link to the second AP. After establishing the new radio link, the computing device can then sever the channel with the second AP.
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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:US11700569B2
公开(公告)日:2023-07-11
申请号:US17503158
申请日:2021-10-15
Applicant: Cisco Technology, Inc.
Inventor: Vishal Satyendra Desai , Gautam Bhanage , Khashayar Mirfakhraei , Ardalan Alizadeh
CPC classification number: H04W40/246 , H04W28/10 , H04W40/248
Abstract: The present technology enables inter-network routing by dynamically optimizing data paths for traffic destined for wired clients attached to a wireless access point in a wireless mesh network with a plurality of wireless access points. The present technology can also influence steering of wireless device connections within the wireless mesh network when high amounts of data traffic are exchanged between nearby mesh wireless access points.
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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: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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