Indoor planning for densifying mobility networks

    公开(公告)号:US11012868B1

    公开(公告)日:2021-05-18

    申请号:US16906780

    申请日:2020-06-19

    Abstract: An architecture for providing indoor planning data that can be used to increase the density of mobility networks. A method can comprise receiving, via network equipment, resource exhaustion data indicative of radio spectrum usage within a determined bin representing a defined geographic area; receiving, via the network equipment, traffic data associated with the determined bin, wherein the traffic data indicates a volume of data flowing into the determined bin; receiving, via the network equipment, coverage data representing a quality of service metric data indicative of a determined reference signal receive power metric; and based on applying a ranking process to the resource exhaustion data, the traffic data, and the coverage data, generating a ranked list of structures, wherein a structure of the ranked list of structures includes the determined bin.

    Optimization of over-the-air file distribution for connected cars based upon a heuristic scheduling algorithm

    公开(公告)号:US10332006B2

    公开(公告)日:2019-06-25

    申请号:US15379880

    申请日:2016-12-15

    Abstract: 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.

    Time distance of arrival based mobile device location detection with disturbance scrutiny
    15.
    发明授权
    Time distance of arrival based mobile device location detection with disturbance scrutiny 有权
    基于移动设备的到达时间距离检测与干扰检查

    公开(公告)号:US09538494B2

    公开(公告)日:2017-01-03

    申请号:US14090166

    申请日:2013-11-26

    CPC classification number: H04W64/00 G01S5/10

    Abstract: 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.

    Abstract translation: 提供了使用具有干扰检查的到达时间(TDOA)方法来定位移动设备的技术。 在一方面,对于大于或等于三个的多个基站设备的三个基站设备的相应组合,在双曲线曲线中的交点,使用具有基于距离设备到对的距离差的闭合形式函数的输入值 确定三个基站装置的各个组合的基站装置。 然后测试交点对抗与输入值相关联的测量误差的鲁棒性,并且选择与测量误差的电阻程度相关联的交点的子集以估计设备的位置。

    Spammer location detection
    17.
    发明授权

    公开(公告)号:US12047533B2

    公开(公告)日:2024-07-23

    申请号:US17409456

    申请日:2021-08-23

    CPC classification number: H04M3/436 H04M1/66 H04W12/128

    Abstract: 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.

    Planning of fixed wireless internet

    公开(公告)号:US11665596B2

    公开(公告)日:2023-05-30

    申请号:US17410721

    申请日:2021-08-24

    CPC classification number: H04W28/20 H04W16/10 H04W16/18 H04W24/02 H04W72/082

    Abstract: Intelligent, automated, fixed wireless internet planning (e.g., using a computerized tool) is enabled. For instance, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for a user equipment determined to be within a defined coverage area, a signal to interference and noise ratio, based on the signal to interference and noise ratio, determining a spectral efficiency value corresponding to the user equipment, based on the spectral efficiency value and a total available bandwidth of a network via which the defined coverage area is enabled, determining an available throughput corresponding to the user equipment, and in response to a determination that the available throughput exceeds a threshold throughput, designating the user equipment, in a data store, as being covered within the defined coverage area by the total available bandwidth of the network.

    RADIO ACCESS NETWORK CONTROL WITH DEEP REINFORCEMENT LEARNING

    公开(公告)号:US20230095706A1

    公开(公告)日:2023-03-30

    申请号:US18053363

    申请日:2022-11-07

    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.

    STATIC USER EQUIPMENT GEOLOCATION
    20.
    发明申请

    公开(公告)号:US20230080065A1

    公开(公告)日:2023-03-16

    申请号:US17474962

    申请日:2021-09-14

    Abstract: 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.

Patent Agency Ranking