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公开(公告)号：US11445379B2
公开(公告)日：2022-09-13
申请号：US17037095
申请日：2020-09-29
发明人： Jie Chen , Yuning Yang , Zhen Wan , Wenjie Zhao
摘要： Facilitating analysis and resource planning for advanced heterogeneous networks (e.g., 5G, 6G, and beyond) is provided herein. A system is provided that includes a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include determining that a resource is to be added to existing resources at a grid level of a heterogeneous network. Further, the operations can include selecting candidate locations for placement of the resource based on a coverage-driven objective and a capacity-driven objective defined for the heterogeneous network. The coverage-driven objective can be associated with a demand for services within the grid level of the heterogeneous network. The capacity-driven objective can be associated with demand growth within the grid level of the heterogeneous network. The resource can be a fifth generation millimeter wave node or a cloud radio access network node.
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公开(公告)号：US11860289B2
公开(公告)日：2024-01-02
申请号：US17474883
申请日：2021-09-14
发明人： Jie Chen , Wenjie Zhao , Abraham George
CPC分类号： G01S5/0036 , G01S5/0063 , H04W4/021 , H04W4/029 , H04W24/10
摘要： The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.
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公开(公告)号：US20230054262A1
公开(公告)日：2023-02-23
申请号：US17409246
申请日：2021-08-23
发明人： Jie Chen , Wenjie Zhao , Abraham George , Ye Ge
IPC分类号： H04W64/00 , H04W56/00 , H04B17/26 , H04B17/345
摘要： The described technology is generally directed towards user equipment (UE) geolocation using a long history of network information. In some examples, a long history of network information associated with a UE can be processed to identify frequently repeated serving cell and correlated timing advance values. The frequently repeated serving cell and correlated timing advance values are indicative of frequently visited places. Next, the long history can be leveraged to determine locations of the frequently visited places with enhanced accuracy, and the resulting enhanced accuracy locations can be identified in a location lookup table for the UE. When the UE subsequently connects to the frequently repeated serving cell and the correlated timing advance value is observed, the location lookup table can be used to quickly assign an enhanced accuracy location to the UE.
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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
发明人： Jie Chen , Wenjie Zhao , Ganesh Krishnamurthi , Huahui Wang , Huijing Yang , Yu Chen
摘要： 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：US11032665B1
公开(公告)日：2021-06-08
申请号：US16800654
申请日：2020-02-25
发明人： Abraham George , Ye Ge , Jie Chen , Wenjie Zhao
IPC分类号： H04W4/021 , H04W40/20 , H04W28/02 , H04W36/00 , G06N3/04 , H04W36/32 , H04B17/318 , H04W64/00 , G06N3/08
摘要： The described technology is generally directed towards user equipment (UE) geolocation. A machine learning model can be trained to estimate UE locations based on historical network communication data associated with the UEs. In order to train the machine learning model, known previous UE locations and corresponding historical network communication data can be provided to the machine learning model. A variety of other information, such as topographical information, can also be provided to the machine learning model. The machine learning model can be trained to predict the known previous UE locations based on the corresponding historical network communication data and any other provided information. Once it is trained, the machine learning model can be deployed to estimate real-time UE locations based on historical network communication data associated with the UEs.
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16.发明申请公开(公告)号：US20190311270A1
公开(公告)日：2019-10-10
申请号：US16449583
申请日：2019-06-24
发明人： Jie Chen , Sichong Guan , Wenjie Zhao , Laurie Bigler
摘要： Concepts and technologies disclosed herein are directed to the optimization of over-the-air (“OTA”) file distribution for connected cars based upon a heuristic scheduling algorithm. A schedule provided by the heuristic scheduling algorithm is designed to distribute OTA data flow to connected cars over the network (geographically) and over a scheduling time horizon (timely), and is capable of reducing the negative impact of OTA file updates on overall wireless network performance. This schedule is created based upon historical statistics associated with connected car driving patterns and simulations of connected car-specific OTA traffic over the network. By leveraging connected cars that connect to different cells at different times based upon driving patterns, the heuristic scheduling algorithm is effective in reducing OTA impact on the network.
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17.发明申请公开(公告)号：US20180227876A1
公开(公告)日：2018-08-09
申请号：US15946163
申请日：2018-04-05
发明人： Sarat Puthenpura , Jie Chen , Sam Houston Parker , Huahui Wang , Wenjie Zhao
摘要： Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.
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公开(公告)号：US12047533B2
公开(公告)日：2024-07-23
申请号：US17409456
申请日：2021-08-23
发明人： Jie Chen , Ye Ge , Wenjie Zhao
IPC分类号： H04M3/436 , H04M1/66 , H04W12/128
CPC分类号： H04M3/436 , H04M1/66 , H04W12/128
摘要： The described technology is generally directed towards spammer location detection, and in particular, to locating a spammer that makes multiple calls from a given location via a cellular communications network. In some examples, network equipment can obtain call trace records associated with the multiple calls, identify a group of call trace records based on a shared call trace feature, aggregate data from call trace records within the group, and determine an estimated location based on the aggregated 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
发明人： Jie Chen , Wenjie Zhao , Ganesh Krishnamurthi , Huahui Wang , Huijing Yang , Yu Chen
摘要： 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：US20230080065A1
公开(公告)日：2023-03-16
申请号：US17474962
申请日：2021-09-14
发明人： Jie Chen , Wenjie Zhao , Abraham George
摘要： The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.
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