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公开(公告)号：US11419007B2
公开(公告)日：2022-08-16
申请号：US17106440
申请日：2020-11-30
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P. , AT&T Mobility II LLC
Inventor： Gopalakrishnan Meempat , Huahui Wang , Slawomir Stawiarski , Senthil Raj Dhandapani , Huijing Yang , Dongho Kim , Kemal Kara , Ravi Raina , Weihua Ye , Hyun Ok Lee
Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.
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公开(公告)号：US11381463B2
公开(公告)日：2022-07-05
申请号：US16721248
申请日：2019-12-19
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Huijing Yang , Jun Li , Hendra Tuty , Wenjie Zhao
IPC: H04L41/142 , G06N5/04 , G06F16/182
Abstract: A system includes a first network edge data collector, a first network edge key performance indicator (KPI) engine configured to operate on first data collected by the first network edge data collector, a KPI metrics manager in communication with the first network edge KPI engine, the KPI metrics manager controlling a KPI metric catalog and wherein the first network edge KPI engine determines first edge KPI metric using a metric algorithm from the KPI metric catalog on the first data.
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公开(公告)号：US11494649B2
公开(公告)日：2022-11-08
申请号：US16778031
申请日：2020-01-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Jie Chen , Wenjie Zhao , Ganesh Krishnamurthi , Huahui Wang , Huijing Yang , Yu Chen
Abstract: A processing system including at least one processor may obtain operational data from a radio access network (RAN), format the operational data into state information and reward information for a reinforcement learning agent (RLA), processing the state information and the reward information via the RLA, where the RLA comprises a plurality of sub-agents, each comprising a respective neural network, each of the neural networks encoding a respective policy for selecting at least one setting of at least one parameter of the RAN to increase a respective predicted reward in accordance with the state information, and where each neural network is updated in accordance with the reward information. The processing system may further determine settings for parameters of the RAN via the RLA, where the RLA determines the settings in accordance with selections for the settings via the plurality of sub-agents, and apply the plurality of settings to the RAN.
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公开(公告)号：US20210194774A1
公开(公告)日：2021-06-24
申请号：US16721248
申请日：2019-12-19
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Huijing Yang , Jun Li , Hendra Tuty , Wenjie Zhao
IPC: H04L12/24
Abstract: A system includes a first network edge data collector, a first network edge key performance indicator (KPI) engine configured to operate on first data collected by the first network edge data collector, a KPI metrics manager in communication with the first network edge KPI engine, the KPI metrics manager controlling a KPI metric catalog and wherein the first network edge KPI engine determines first edge KPI metric using a metric algorithm from the KPI metric catalog on the first data.
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公开(公告)号：US20230095706A1
公开(公告)日：2023-03-30
申请号：US18053363
申请日：2022-11-07
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Jie Chen , Wenjie Zhao , Ganesh Krishnamurthi , Huahui Wang , Huijing Yang , Yu Chen
Abstract: A processing system including at least one processor may obtain operational data from a radio access network (RAN), format the operational data into state information and reward information for a reinforcement learning agent (RLA), processing the state information and the reward information via the RLA, where the RLA comprises a plurality of sub-agents, each comprising a respective neural network, each of the neural networks encoding a respective policy for selecting at least one setting of at least one parameter of the RAN to increase a respective predicted reward in accordance with the state information, and where each neural network is updated in accordance with the reward information. The processing system may further determine settings for parameters of the RAN via the RLA, where the RLA determines the settings in accordance with selections for the settings via the plurality of sub-agents, and apply the plurality of settings to the RAN.
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Patent Agency Ranking
公开(公告)号：US20220174543A1
公开(公告)日：2022-06-02
申请号：US17106440
申请日：2020-11-30
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P. , AT&T Mobility II LLC
Inventor： Gopalakrishnan Meempat , Huahui Wang , Slawomir Stawiarski , Senthil Raj Dhandapani , Huijing Yang , Dongho Kim , Kemal Kara , Ravi Raina , Weihua Ye , Hyun Ok Lee
Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.
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公开(公告)号：US20200187071A1
公开(公告)日：2020-06-11
申请号：US16210453
申请日：2018-12-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Jie Chen , Wenjie Zhao , Ke Zhang , Huijing Yang , Huahui Wang
Abstract: A device can receive, from a network node device, call trace event data relating to characteristics of a wireless communication session between the network node device and a user equipment. The device can sequence and combine the call trace event data for a period of the wireless communication session. The device can analyze the call trace event data to determine a category of network communication traffic transmitted via a communication channel between the network node device and the user equipment. In response to a determination that the network communication traffic comprises streaming video packets, the device can facilitate directing of network resources to be allocated to support the wireless communication session.
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公开(公告)号：US20220345940A1
公开(公告)日：2022-10-27
申请号：US17811405
申请日：2022-07-08
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P. , AT&T Mobility II LLC
Inventor： Gopalakrishnan Meempat , Huahui Wang , Slawomir Stawiarski , Senthil Raj Dhandapani , Huijing Yang , Dongho Kim , Kemal Kara , Ravi Raina , Weihua Ye , Hyun Ok Lee
Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.
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公开(公告)号：US11206589B2
公开(公告)日：2021-12-21
申请号：US16943739
申请日：2020-07-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Jie Chen , Wenjie Zhao , Ke Zhang , Huijing Yang , Huahui Wang
Abstract: A device can receive, from a network node device, call trace event data relating to characteristics of a wireless communication session between the network node device and a user equipment. The device can sequence and combine the call trace event data for a period of the wireless communication session. The device can analyze the call trace event data to determine a category of network communication traffic transmitted via a communication channel between the network node device and the user equipment. In response to a determination that the network communication traffic comprises streaming video packets, the device can facilitate directing of network resources to be allocated to support the wireless communication session.
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公开(公告)号：US20210241090A1
公开(公告)日：2021-08-05
申请号：US16778031
申请日：2020-01-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Jie Chen , Wenjie Zhao , Ganesh Krishnamurthi , Huahui Wang , Huijing Yang , Yu Chen
Abstract: A processing system including at least one processor may obtain operational data from a radio access network (RAN), format the operational data into state information and reward information for a reinforcement learning agent (RLA), processing the state information and the reward information via the RLA, where the RLA comprises a plurality of sub-agents, each comprising a respective neural network, each of the neural networks encoding a respective policy for selecting at least one setting of at least one parameter of the RAN to increase a respective predicted reward in accordance with the state information, and where each neural network is updated in accordance with the reward information. The processing system may further determine settings for parameters of the RAN via the RLA, where the RLA determines the settings in accordance with selections for the settings via the plurality of sub-agents, and apply the plurality of settings to the RAN.
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