Controlling quality of service class identifier weights for improved performance in 5G or other next generation networks

    公开(公告)号:US11259206B2

    公开(公告)日:2022-02-22

    申请号:US16889092

    申请日:2020-06-01

    Abstract: The disclosed technology describes on-demand adjusting of the quality of service (QoS) class identifier (QCI) relative weight settings for different QCI classes associated with user devices. A QoS controller, which can be implemented in a standalone or a cloud configuration, updates the QCI weight settings as requested or needed to deal with changing network environments, such as growing traffic, different RF conditions, new devices, ratio of different service classes of user devices, to improve the overall performance of one or more cell sites. In one implementation, the QoS controller collects actual network statistics, and runs simulations based on those statistics with different groups of candidate QCI weight settings to generate multiple result sets. The QoS controller evaluates the result sets to determine which group of QCI weight settings meets desired performance objectives, and then applies those QCI weight settings to one or more NodeBs for use with actual data traffic.

    Real-time user traffic classification in wireless networks

    公开(公告)号:US11206589B2

    公开(公告)日:2021-12-21

    申请号:US16943739

    申请日:2020-07-30

    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.

    RADIO ACCESS NETWORK CONTROL WITH DEEP REINFORCEMENT LEARNING

    公开(公告)号:US20210241090A1

    公开(公告)日:2021-08-05

    申请号:US16778031

    申请日:2020-01-31

    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.

    Real-time user traffic classification in wireless networks

    公开(公告)号:US10772016B2

    公开(公告)日:2020-09-08

    申请号:US16210453

    申请日:2018-12-05

    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.

    Time distance of arrival based mobile device location detection with disturbance scrutiny

    公开(公告)号:US10375668B2

    公开(公告)日:2019-08-06

    申请号:US15946163

    申请日:2018-04-05

    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.

    TIME DISTANCE OF ARRIVAL BASED MOBILE DEVICE LOCATION DETECTION WITH DISTURBANCE SCRUTINY
    36.
    发明申请
    TIME DISTANCE OF ARRIVAL BASED MOBILE DEVICE LOCATION DETECTION WITH DISTURBANCE SCRUTINY 有权
    基于移动设备的时间距离检测与干扰检测

    公开(公告)号:US20170079005A1

    公开(公告)日:2017-03-16

    申请号:US15359843

    申请日:2016-11-23

    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。

    ENHANCED NETWORK WITH DATA FLOW DIFFERENTIATION

    公开(公告)号:US20250030641A1

    公开(公告)日:2025-01-23

    申请号:US18906718

    申请日:2024-10-04

    Abstract: Aspects of the subject disclosure may include, for example, receiving information about a data flow for radio communication between the radio access network and user equipment, classifying the data flow as one of a large data flow and a small data flow, adjusting priority of the data flow by reducing relative priority of the data flow responsive to classifying the data flow as a large data flow, and communicating data including the data flow between the radio access network and the user equipment according to the adjusted priority. Other embodiments are disclosed.

    Enhanced network with data flow differentiation

    公开(公告)号:US12143306B2

    公开(公告)日:2024-11-12

    申请号:US18155488

    申请日:2023-01-17

    Abstract: Aspects of the subject disclosure may include, for example, receiving information about a data flow for radio communication between the radio access network and user equipment, classifying the data flow as one of a large data flow and a small data flow, adjusting priority of the data flow by reducing relative priority of the data flow responsive to classifying the data flow as a large data flow, and communicating data including the data flow between the radio access network and the user equipment according to the adjusted priority. Other embodiments are disclosed.

    ENHANCED NETWORK WITH DATA FLOW DIFFERENTIATION

    公开(公告)号:US20230231813A1

    公开(公告)日:2023-07-20

    申请号:US18155488

    申请日:2023-01-17

    CPC classification number: H04L47/365 H04L47/24

    Abstract: Aspects of the subject disclosure may include, for example, receiving information about a data flow for radio communication between the radio access network and user equipment, classifying the data flow as one of a large data flow and a small data flow, adjusting priority of the data flow by reducing relative priority of the data flow responsive to classifying the data flow as a large data flow, and communicating data including the data flow between the radio access network and the user equipment according to the adjusted priority. Other embodiments are disclosed.

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