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.

    Signal strength prediction based on line of sight analysis

    公开(公告)号:US11233593B2

    公开(公告)日:2022-01-25

    申请号:US16216539

    申请日:2018-12-11

    Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.

    INTEGRATED MOBILITY NETWORK PLANNING

    公开(公告)号:US20210014698A1

    公开(公告)日:2021-01-14

    申请号:US16507567

    申请日:2019-07-10

    Abstract: Aspects of the subject disclosure may include, for example, collecting and storing data about a communication environment including one or more communication networks wherein respective communication networks of the one or more communication networks employ respective communication technologies for communication with remote user devices in the communication environment, providing traffic forecasts of communication traffic, creating importance layers for potential build locations for equipment of the one or more communication networks, identifying desirable build locations among the potential build locations of the one or more communication networks based on the traffic forecasts of communication traffic and the importance layers, receiving user input defining planning parameters for the communication environment and determining respective target goal values for respective build options for the one or more communication networks based on the planning parameters, the identified desirable build locations and the traffic forecasts. Other embodiments are disclosed.

    SIGNAL STRENGTH PREDICTION BASED ON LINE OF SIGHT ANALYSIS

    公开(公告)号:US20200186266A1

    公开(公告)日:2020-06-11

    申请号:US16216539

    申请日:2018-12-11

    Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.

    Metro cell planning
    35.
    发明授权

    公开(公告)号:US09848337B2

    公开(公告)日:2017-12-19

    申请号:US13682543

    申请日:2012-11-20

    CPC classification number: H04W16/18 H04W16/32

    Abstract: Dynamic metro cell location planning is provided within the wireless communication coverage area of a macro cell. Metro cell location planning can include obtaining performance parameters associated with the macro cell and evaluating coverage parameters of the macro cell. Metro cell location planning can also include selecting, based on the performance parameters and the coverage parameters, a location within a wireless communication coverage area of the macro cell for placement of the metro cell. The selected location can be conveyed to a user and/or entity for deployment of the metro cells. Metro cells can be used by a carrier to fill a coverage hole and/or to offload capacity hot-spots within the network.

    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.

    FACILITATING IMPLEMENTATION OF COMMUNICATION NETWORK DEPLOYMENT THROUGH NETWORK PLANNING IN ADVANCED NETWORKS

    公开(公告)号:US20220369118A1

    公开(公告)日:2022-11-17

    申请号:US17314936

    申请日:2021-05-07

    Abstract: Facilitating implementation of communication network deployment through network planning in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can include, configuring a first deployment scenario for first network equipment and a second deployment scenario for second network equipment. The first deployment scenario is selected from a group of first deployment scenarios and can include a first parameter. The second deployment scenario is selected from a group of second deployment scenarios and can include a second parameter. The configuring can include determining that a sum of the first parameter and the second parameter satisfies a function of a defined parameter level. The operations also can include facilitating a first enactment of the first deployment scenario for the first network equipment and a second enactment of the second deployment scenario for the second network equipment.

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